Abstract

Disclosed in embodiments of the present disclosure are an information generation method and apparatus, a device, a computer readable medium and a program product. One specific embodiment of the method comprises: acquiring rendering scenario information and apparatus parameter information; placing a three-dimensional article model at a target position in a corresponding rendering scenario space; determining a model mark point position and model size information; and on the basis of the apparatus parameter information, the model mark point position and the model size information, generating relationship information representing a mapping relationship between an image acquisition apparatus distance and an article viewing angle proportion, wherein the image acquisition apparatus distance is a position distance between an apparatus position corresponding to an image acquisition apparatus and a model position corresponding to the three-dimensional article model.

IPC Classes  ?

• G06T 15/00 - 3D [Three Dimensional] image rendering

Abstract

The present disclosure relates to a method and apparatus for generating a summary of a dialogue, and a method and device for training a model. The method for generating the summary of the dialogue includes modeling semantic coherence of dialogue sentences by a contrastive learning mode to determine topic information of the dialogue and generate a model for generating the summary of the dialogue; and inputting a target dialogue into the model for generating the summary of the dialogue to obtain the summary of the target dialogue.

IPC Classes  ?

• G06F 16/34 - BrowsingVisualisation therefor
• G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates

Abstract

Disclosed are a video stream data acquisition method and apparatus. An implementation of the method includes: determining, in response to receiving a stream pulling data packet from a target terminal, whether a machine room identifier of a communication machine room that receives the stream pulling data packet is the same as a target machine room identifier included in the stream pulling data packet, where the stream pulling data packet is generated during the target terminal's playing of a video stream, and the target machine room identifier is a machine room identifier of a communication machine room that receives a first stream pulling data packet first generated when the target terminal is playing the video stream; if not, forwarding the stream pulling data packet to a target communication machine room corresponding to the target machine room identifier; and acquiring video stream data through the target communication machine room.

IPC Classes  ?

• H04N 21/236 - Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator ] into a video stream, multiplexing software data into a video streamRemultiplexing of multiplex streamsInsertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rateAssembling of a packetised elementary stream
• H04N 21/2381 - Adapting the multiplex stream to a specific network, e.g. an IP [Internet Protocol] network
• H04N 21/647 - Control signaling between network components and server or clientsNetwork processes for video distribution between server and clients, e.g. controlling the quality of the video stream, by dropping packets, protecting content from unauthorised alteration within the network, monitoring of network load or bridging between two different networks, e.g. between IP and wireless

Abstract

Disclosed are a method and apparatus for determining information. An implementation includes: acquiring whole preceding text information and a plurality of pieces of candidate reply information for replying to the whole preceding text information; for each of the plurality of pieces of candidate reply information, determining total difference information between the piece of candidate reply information and candidate reply information in the plurality of pieces of candidate reply information other than the piece of candidate reply information; determining consistency information between the total difference information and the whole preceding text information as first consistency information between the candidate reply information and the whole preceding text information; and according to the first consistency information corresponding to each piece of candidate reply information, determining target reply information from the plurality of pieces of candidate reply information.

IPC Classes  ?

• G06F 16/334 - Query execution
• G06F 16/3329 - Natural language query formulation
• G06F 40/30 - Semantic analysis

Abstract

Embodiments of the present disclosure provide a model training method and apparatus, a video recommendation method and apparatus, a device, a medium, and a product. The model training method comprises: acquiring a plurality of training samples; using an initial video recommendation model to perform extraction processing on each training sample, so as to obtain a first video interest vector of a user for a target short video and a first item interest vector of the user for a target item; using the initial video recommendation model to perform decoupling processing on the first video interest vector, so as to obtain a first video content interest vector and a first video item interest vector; determining a total loss function on the basis of the first video interest vector, the first item interest vector, the first video content interest vector and the first video item interest vector; and on the basis of the total loss function, training the initial video recommendation model to obtain a video recommendation model.

IPC Classes  ?

• G06F 16/735 - Filtering based on additional data, e.g. user or group profiles

Abstract

The present application relates to the technical field of data search, and provides an item retrieval method and apparatus, an electronic device and a storage medium. The method comprises: acquiring retrieval information sent by a client, and processing the retrieval information and corresponding user information on the basis of a preset model to obtain a retrieval feature; on the basis of the similarity between the retrieval feature and an image-text fusion feature corresponding to each item, determining a target item from among a plurality of items, wherein the image-text fusion feature is obtained by processing image-text information of each item on the basis of the preset model, the preset model is obtained by training on the basis of image-text information of a clicked item and the fusion of the image-text information corresponding to the items, and the clicked item is determined by a user for a sample target item fed back; and sending related information of the target item to the client.

IPC Classes  ?

• G06F 16/9535 - Search customisation based on user profiles and personalisation
• G06F 16/332 - Query formulation
• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06N 3/0464 - Convolutional networks [CNN, ConvNet]

Abstract

The present disclosure relates to the field of image processing, and provides an image annotation method and apparatus, and a storage medium. The method comprises: on the basis of a multi-view picture set of an object, constructing a three-dimensional model of the object; adjusting the pose of the three-dimensional model of the object, so that the projection of the three-dimensional model of the object on a picture to be annotated completely overlaps an image of the object in the picture to be annotated; and annotating the projection when said projection completely overlaps said image as a segmentation result of the image of the object in the picture to be annotated. By adjusting the pose of the object in the picture to replace the annotation of dense point positions (hundreds and thousands of point positions) of the boundary of an object in one picture, annotation efficiency is improved. By constructing the three-dimensional model of the object, and using the projection of the unified three-dimensional model in different poses to annotate the object in the picture, the uniformity of the boundaries of the object at different viewing angles can be ensured, thereby improving annotation quality. Especially in a multi-view image segmentation scenario, higher annotation efficiency and annotation quality are achieved.

IPC Classes  ?

• G06T 7/11 - Region-based segmentation

Abstract

The present disclosure provides a camera position and orientation determination method and apparatus, a storage medium and a computer program. The method comprises: on the basis of first position and orientation information, determining camera spatial position information; on the basis of the first position and orientation information, camera shooting parameters and an image sample, determining camera ray direction information; by means of a neural radiation field network and on the basis of object spatial position information, the camera spatial position information, the camera ray direction information and the image sample, obtaining predicted color values of pixels in the image sample; and, on the basis of the predicted color values and real color values of the pixels in the image sample, adjusting the first position and orientation information.

IPC Classes  ?

• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
• G06T 7/90 - Determination of colour characteristics
• G06T 7/80 - Analysis of captured images to determine intrinsic or extrinsic camera parameters, i.e. camera calibration

Abstract

Disclosed are a data processing method and apparatus. The method includes: annotating, in response to receiving a page image, the page image to generate image sets corresponding to annotated data, the image sets including a first image set for recognizing a container type, a second image set for recognizing text information, and a third image set for detecting an image element; inputting the image sets into a trained image recognition model to generate a container type data set corresponding to the first image set, a text data set corresponding to the second image set and an image element data set corresponding to the third image set; performing a conversion on the container type data set, the text data set and the image element data set based on template information of a page to generate a template data set corresponding to the page image, and uploading the template data set.

IPC Classes  ?

• G06V 30/19 - Recognition using electronic means
• G06V 30/148 - Segmentation of character regions
• G06V 30/413 - Classification of content, e.g. text, photographs or tables
• G06V 30/414 - Extracting the geometrical structure, e.g. layout treeBlock segmentation, e.g. bounding boxes for graphics or text
• G06V 30/416 - Extracting the logical structure, e.g. chapters, sections or page numbersIdentifying elements of the document, e.g. authors

Abstract

The present application relates to the technical field of computers. Disclosed in the present application are a view optimization processing method and apparatus, and an object display method and apparatus. A specific embodiment of the view optimization processing method comprises: acquiring a target view of a target object, the target view being a two-dimensional image; constructing a three-dimensional structural view of the target object; determining the centroid and a pivot point of the three-dimensional structural view, the pivot point being located on the ground of the three-dimensional structural view, and a line connecting the centroid and the pivot point being perpendicular to the ground; and on the basis of the centroid and the pivot point, performing pose optimization processing on the target view. The embodiment can perform pose optimization processing on images so as to reduce stuttering generated during playback of combined videos, thus improving the visual experience for users.

IPC Classes  ?

• G06T 7/73 - Determining position or orientation of objects or cameras using feature-based methods
• G06T 7/66 - Analysis of geometric attributes of image moments or centre of gravity

Abstract

The present disclosure provides a component identification method which includes: inputting a first image into a set identification model to obtain at least one UI block in the first image outputted by the set identification model, wherein the first image is determined on the basis of a first visual mockup, the set identification model is used for identifying the at least one UI block in an inputted image, and each UI block at least comprises an image region obtained by UI component rendering; determining, among the nodes of a document object model DOM corresponding to the first visual mockup, a first node corresponding to each UI block in the at least one UI block; inputting an image corresponding to each first node into a set classification model to obtain a UI component type corresponding to the first node outputted by the set classification model.

IPC Classes  ?

• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
• G06F 3/04815 - Interaction with a metaphor-based environment or interaction object displayed as three-dimensional, e.g. changing the user viewpoint with respect to the environment or object
• G06T 5/50 - Image enhancement or restoration using two or more images, e.g. averaging or subtraction
• G06T 7/13 - Edge detection
• G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations

Abstract

The present invention relates to the field of computer technologies, and provides a method and apparatus for predicting an online customer service consultation queue time. A specific embodiment of the method comprises: in response to receiving an online customer service consultation request from a user, determining a skill group corresponding to the user, and acquiring the customer service status of the skill group; when the customer service status is that all customer service representatives are busy, adding the user into a waiting queue; acquiring queuing features of the user and customer service status features of the skill group, wherein the customer service status features comprise the number of currently available customer service representatives and the number of conversations being processed by each customer service representative; and predicting a queue time of the user by means of a queue time estimation model on the basis of the queuing features of the user, the number of currently available customer service representatives, and the number of conversations being processed by each customer service representative. The embodiment greatly reduces errors in prediction results, and improves the queue time prediction accuracy and prediction performance.

IPC Classes  ?

• G06F 16/332 - Query formulation

Abstract

Disclosed in embodiments of the present disclosure are an order processing method and apparatus. An embodiment of the method comprises: obtaining content association information of orders in a set of orders to be processed, wherein the content association information is used for representing whether different orders comprise the same service content; respectively determining, according to the content association information, backlog influence degrees of the orders in the set of the orders to be processed, wherein the backlog influence degree of the order represents the influence degree of the order on the backlog state of the orders in the set of the orders to be processed; and determining, according to the backlog influence degrees, a processing order of the orders in the set of the orders to be processed, and performing order processing according to the determined processing order.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

The present disclosure provides a method and apparatus for information recommendation/determination, and a system for information recommendation, and relates to the technical field of computers. The method comprises: using a historical article clicking action sequence of a target user to query first correlation information between different articles and second correlation information between articles and aggregated articles to obtain an article set and an aggregated article set that are related to the historical articles on which the target user has clicked and may interest the target user, then determining target articles of the aggregated articles in the aggregated article set for the target user by matching the aggregated articles in the aggregated article set with the articles in the article set, and recommending to the target user a combination of the aggregated articles in the aggregated article set and the target articles thereof. Therefore, combinations of aggregated articles in which each user is interested and target articles are accurately mined, positioned, and recommended, and different combinations of aggregated articles and target articles are recommended to users with different interests to achieve personalized information recommendation.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

The present disclosure relates to an image processing method, apparatus and system, and relates to the technical field of image processing. The image processing method comprises: according to a position of an article undergoing acquisition, determining a three-dimensional area, the whole or part of said article being located within the three-dimensional area; providing on the surface of the three-dimensional area a plurality of image acquisition positions; and at each image acquisition position, using an image acquisition apparatus to acquire a first image of said article in a viewing angle at the image acquisition position, so as to obtain a plurality of first images of said article at different viewing angles, so as to help an image display apparatus to display, according to the plurality of first images, an image corresponding to a selected viewing angle.

IPC Classes  ?

• H04N 13/243 - Image signal generators using stereoscopic image cameras using three or more 2D image sensors
• G06T 17/00 - 3D modelling for computer graphics

Abstract

Disclosed in the present disclosure are a decoding method and apparatus applicable to a spatial image. A particular embodiment of the method comprises: according to acquired operation information, determining a target longitude and latitude corresponding to a target spatial picture that a user expects; according to the target longitude and latitude, determining position information of the target spatial picture in an encoded file and a target picture group to which the target spatial picture belongs; determining, from a pre-loaded key frame sequence, a target key frame corresponding to the target picture group, wherein the key frame sequence comprises key frames which are involved in the encoded file; and performing decoding according to the target key frame and the position information, so as to obtain the target spatial picture.

IPC Classes  ?

• H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• H04N 19/44 - Decoders specially adapted therefor, e.g. video decoders which are asymmetric with respect to the encoder

Abstract

The present disclosure discloses an encoding method and apparatus suitable for a spatial image. A specific embodiment of the method comprises: according to longitudes and latitudes corresponding to a plurality of sampling points under different spatial angles, generating a spatial picture matrix comprising a plurality of spatial pictures acquired by means of the plurality of sampling points; according to the degree of change between adjacent spatial pictures in the spatial picture matrix, determining target sizes of sub-matrices corresponding to different regions in the spatial picture matrix; dividing the spatial picture matrix by using the sub-matrices corresponding to different regions in the spatial picture matrix, and obtaining a plurality of picture groups; and according to respective key frames and prediction frames comprised in the plurality of picture groups, encoding a spatial picture in the spatial picture matrix, and generating an encoded file.

IPC Classes  ?

• H04N 19/593 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving spatial prediction techniques
• H04N 19/172 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a picture, frame or field
• H04N 19/177 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a group of pictures [GOP]

Abstract

Disclosed in the present disclosure are an encoding method and apparatus applicable to a spatial picture, and a decoding method and apparatus applicable to a spatial picture. A particular implementation manner of the encoding method comprises: according to longitudes and latitudes corresponding to a plurality of sampling points at different spatial angles, generating a spatial picture matrix, which comprises a plurality of spatial pictures that are collected at the plurality of sampling points; dividing the spatial picture matrix by a sub-matrix of a preset size, so as to obtain a plurality of picture groups; and encoding spatial pictures in the spatial picture matrix according to key frames and predicted frames, which are comprised in each of the plurality of picture groups, and generating an encoded file.

IPC Classes  ?

• H04N 19/597 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding specially adapted for multi-view video sequence encoding
• H04N 19/177 - Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a group of pictures [GOP]

Abstract

Embodiments of the present application relate to the technical field of computers. Disclosed are an updating method, apparatus, and device for a behavior data prediction model, and a storage medium. The model comprises at least two prediction sub-networks, and different prediction sub-networks correspond to different service scenarios. The method comprises: respectively determining a current error descent parameter of each service scenario on the basis of a historical training data set of each service scenario, the historical training data set comprising at least one historical actual behavior data subset and a historical predicted behavior data subset corresponding to the at least one historical actual behavior data subset; and updating network parameters of the behavior data prediction model on the basis of a plurality of current error descent parameters, current actual behavior data subsets of a plurality of service scenarios, and current predicted behavior data subsets corresponding to multiple current actual behavior data subsets.

IPC Classes  ?

• G06Q 30/0202 - Market predictions or forecasting for commercial activities
• G06Q 30/0242 - Determining effectiveness of advertisements
• G06Q 30/0211 - Determining the effectiveness of discounts or incentives
• G06N 3/0499 - Feedforward networks
• G06N 3/048 - Activation functions
• G06N 3/08 - Learning methods

Abstract

The embodiments of the present application relate to the technical field of computers and disclose a behavior data prediction model updating method, apparatus, and device, and a storage medium. A behavior data prediction model comprises at least two prediction sub-networks, and the method can comprise: inputting a feature data sequence into the behavior data prediction model to obtain prediction behavior data sequences respectively output by the at least two prediction sub-networks, the feature data sequence being a time-sequential sequence; on the basis of the prediction behavior data sequences output by the at least two prediction sub-networks and an actual behavior data sequence corresponding to the feature data sequence, determining at least one distribution drift network from amongst the at least two prediction sub-networks; and, on the basis of the feature data sequence and the actual behavior data sequence, updating a non-distribution drift network among the at least two prediction sub-networks to obtain a behavior data prediction model comprising the at least one distribution drift network and the updated non-distribution drift network.

IPC Classes  ?

• G06Q 30/0202 - Market predictions or forecasting for commercial activities
• G06N 3/0499 - Feedforward networks
• G06N 3/048 - Activation functions
• G06N 3/084 - Backpropagation, e.g. using gradient descent
• G06Q 30/0242 - Determining effectiveness of advertisements

Abstract

The present disclosure relates to the technical field of video processing, and provides a video generation method and apparatus. A specific embodiment of the method comprises: in response to acquiring a video generation request, acquiring video element information on the basis of the video generation request (201); obtaining a target animation on the basis of a new animation description file and an animation template file (202); executing a screenshot operation on the basis of the target animation, and obtaining an ordered picture sequence (203); and generating a target video on the basis of the ordered picture sequence (204).

IPC Classes  ?

• H04N 21/234 - Processing of video elementary streams, e.g. splicing of video streams or manipulating encoded video stream scene graphs

Abstract

The present disclosure relates to the technical field of computers, and relates to a model training method, a retrieval method, related apparatuses, an electronic device and a computer-readable storage medium. The model training method comprises: using a first-tower model of a two-tower model to generate a target text representation of first training text for retrieval; using a second-tower model of the two-tower model to generate a target multi-modal representation of a training item according to second training text and training visual information, which are related to the training item, wherein feature information of the second training text and feature information of the training visual information are fused in the target multi-modal representation, and the training item has an association relationship with the first training text; and training the two-tower model according to the target text representation of the first training text and the target multi-modal representation of the training item, wherein the trained two-tower model is configured to determine a target item from among candidate items to be a retrieval result. According to the present disclosure, retrieval text can be more accurately matched, thereby improving the accuracy of retrieval.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06F 16/9535 - Search customisation based on user profiles and personalisation

Abstract

A text generation method and apparatus, an electronic device and a computer-readable medium. A specific embodiment of the method comprises: determining a decoded-word information group set on the basis of a text to be processed, wherein the text to be processed is used for describing a specified object; de-duplicating the decoded-word information group set to generate a candidate-word information group set; selecting, from each candidate-word information group in the candidate-word information group set, candidate-word information that meets a target condition as target-word information, to obtain a target-word information set; for each piece of target-word information in the target-word information set, in response to determining that the target-word information meets a convergence condition, splicing, on the basis of a preset-word list, the target-word information with a historical target-word information sequence corresponding to the target-word information, to generate a target text.

IPC Classes  ?

• G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates

Abstract

A method and device for installing a program, relating to the field of device configuration. The method comprises: acquiring network information of a device on which a target program is to be installed (201); in response to determining that the network information of the device on which the target program is to be installed satisfies a preset program installation condition, sending device information of the device on which the target program is to be installed (202); receiving program information of the target program corresponding to the device information, the program information of the target program comprising a download address of the target program (203); and downloading the target program according to the download address of the target program, and installing the target program on the device on which the target program is to be installed (204). The method can improve the efficiency and accuracy of program installation and reduce human cost.

IPC Classes  ?

• G06F 8/61 - Installation
• H04L 67/00 - Network arrangements or protocols for supporting network services or applications

Abstract

A time delay estimation method, an echo cancellation method, a training method, related apparatuses, an electronic device, a computer readable storage medium, and a computer program, relating to the field of audio processing. The time delay estimation method comprises: using a plurality of filters to process a plurality of segments of first audio, wherein each segment comprises a plurality of consecutive frames, each filter is used for processing one segment of the first audio and second audio, and the second audio comprises corresponding content of the first audio (S102); and using a neural network model to process processing results of the plurality of filters to obtain a time delay estimation result of the corresponding content of the first audio in the second audio (S104). The method improves the precision of time delay estimation, and also has robustness in scenarios with noise and nonlinear echoes. In addition, the method also has high processing efficiency.

IPC Classes  ?

• G10L 21/0208 - Noise filtering
• G10L 25/30 - Speech or voice analysis techniques not restricted to a single one of groups characterised by the analysis technique using neural networks

Abstract

The present disclosure relates to the technical field of computers, and relates to an image processing method and apparatus, and a computer readable storage medium. The method of the present disclosure comprises: obtaining a source domain content representation of a source domain image, and obtaining a target domain style representation of a target domain image; in order to enable generated new style representations to be different from a source domain style representation of the source domain image and the target domain style representation, enable the new style representations to be different from each other, and enable an image generated by combining the new style representations with the source domain content representation to be semantically consistent with the source domain image, generating multiple new style representations and updating the source domain content representation and the target domain style representation; respectively combining the generated multiple new style representations and the updated target domain style representation with the updated source domain content representation, and respectively generating a first image and a second image; training a target detection model by using the first image, the second image, and the source domain image to obtain a trained target detection model.

IPC Classes  ?

• G06T 11/60 - Editing figures and textCombining figures or text
• G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
• G06V 10/776 - ValidationPerformance evaluation

Abstract

The present disclosure relates to a decoding method, apparatus and computer-readable storage medium, which relates to the field of computer technology. The method of the present disclosure includes buffering one or more stream segments of a data stream which are received, wherein the data stream comprises an audio stream; parsing the one or more stream segments buffered until header information is obtained through the parsing; storing the header information; and decoding stream segments of the audio stream among various stream segments received according to the header information until the audio stream is completely decoded.

IPC Classes  ?

• G10L 19/16 - Vocoder architecture

Abstract

Disclosed in the embodiments of the present disclosure are a prediction information generation method and apparatus, and a device, a medium and a program product. A specific embodiment of the method comprises: acquiring feature data for a plurality of article demand influence features, which feature data corresponds to a target article; determining, according to the feature data, an article category corresponding to the target article; determining, according to the article category, at least one piece of information to be predicted for the target article; generating at least one piece of first feature demand prediction information for a target time according to at least one first feature demand prediction model and the feature data; and inputting the at least one piece of first feature demand prediction information and the feature data into a pre-trained second feature demand prediction model, so as to generate at least one piece of second feature demand prediction information for the target time, and total demand amount prediction information.

IPC Classes  ?

• G06Q 30/0202 - Market predictions or forecasting for commercial activities

Abstract

Disclosed in the embodiments of the present disclosure are an article identifier information generation method and apparatus, and a device, a medium and a program product. A specific embodiment of the method comprises: acquiring an article information set corresponding to an article identifier set; for each article identifier, according to a historical information set comprised in article information in the article information set which corresponds to the article identifier, generating indicator information corresponding to a target article value type; according to each piece of article attribute information and each piece of generated indicator information, generating an article feature matrix corresponding to the article identifier set; according to each piece of indicator information, the article feature matrix and a preset optimization object, selecting from the article identifier set an article identifier that meets a preset constraint condition; and according to each article identifier, generating circulating article identifier information.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

The present disclosure relates to the field of computers, and provides an object affordance detection method and apparatus. The method includes acquiring a reference image and an image to be detected, the reference image comprising a person and a first object on which the person performs an action; extracting features of the reference image and features of the image to be detected; according to the feature of the reference image, extracting action intent information of the person on the first object in the reference image; according to the action intent information of the person on the first object in the reference image and the features of the image to be detected, migrating the action intent information to the image to be detected, and segmenting, from the image to be detected, a second object capable of completing the action intent information.

IPC Classes  ?

• G06V 40/20 - Movements or behaviour, e.g. gesture recognition
• G06T 7/12 - Edge-based segmentation
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06V 10/44 - Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersectionsConnectivity analysis, e.g. of connected components

Abstract

An information pushing method and apparatus. The method includes extracting preference attributes of a user from user dialogue information in the current dialogue scene; determining effective attribute nodes corresponding to the preference attributes in a preconstructed knowledge graph; arranging the effective attribute nodes according to a dialogue time sequence to generate a dialogue path; determining a candidate attribute set and a candidate commodity set on the basis of the dialogue path; using a pretrained strategy prediction model to predict the current pushing strategy on the basis of the current state vector; determining, on the basis of the current pushing strategy, an object to be pushed from the candidate attribute set or the candidate commodity set, and generating, on the basis of said object, information to be pushed; and pushing the information to be pushed.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

Disclosed in the embodiments of the present disclosure are a video generation method and apparatus. A specific embodiment of the method comprises: acquiring at least two video clips which are obtained by means of segmenting a video to be edited; processing the at least two video clips by using a pre-trained video processing model, so as to obtain processing results, wherein the processing results represent the probabilities of video clips respectively belonging to video editing results; and training samples for the video processing model are obtained by means of the following steps: acquiring a video editing result set corresponding to an original video, respectively determining effect index values of video editing results in the video editing result set, and generating training samples for the video processing model according to the effect index values; and according to the processing results, selecting a video clip from the at least two video clips to generate a video editing result.

IPC Classes  ?

• H04N 21/44 - Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs

Abstract

The present disclosure provides a method and apparatus for training an item copy-writing generation network. The method includes: obtaining item description information of each item in an item set; carrying out data preprocessing on an item description information set corresponding to the item set, to obtain a processed item description information set; training an initial first item copy-writing generation network, to obtain a trained first item copy-writing generation network; and training an initial second item copy-writing generation network through a knowledge distillation method, to obtain a trained second item copy-writing generation network.

IPC Classes  ?

• G06N 3/0455 - Auto-encoder networksEncoder-decoder networks
• G06N 3/096 - Transfer learning

Abstract

The present disclosure relates to the technical field of computers, and in particular to the field of privacy computation. Provided are a private query method, apparatus and system, and a storage medium. A private query solution provided in the embodiments of the present disclosure comprises: by means of finding the intersection of encrypted identifier data, determining the intersection of data records of a data provider and a data querier, without revealing the privacy of the two parties; if it is determined that a plurality of pieces of target label data corresponding to a plurality of target storage sequence numbers in the intersection are stored in the same target plaintext, for such the plurality of target storage sequence numbers, using a ciphertext of index information of the target plaintext to initiate one ciphertext request to the data provider; and deciphering a ciphertext of the target plaintext in a ciphertext response, so that the plurality of pieces of target label data can be acquired from the target plaintext. Therefore, a plurality of pieces of target label data can be acquired at the same time by means of one ciphertext request and one ciphertext response, thereby reducing communication overhead and computation overhead, such that a private query solution can be run efficiently.

IPC Classes  ?

• G06F 21/62 - Protecting access to data via a platform, e.g. using keys or access control rules

Abstract

The present disclosure relates to the technical field of image processing. Disclosed are a transfer method and apparatus. A specific embodiment of the method comprises: in response to acquiring an image to be transferred containing first clothing, singling out a target model clothing image in a prearranged model clothing image library on the basis of the style and the category of the first clothing; performing pattern extraction on the basis of a sub-image of each part of the first clothing, so as to obtain a pattern of each part; and transferring the patterns into second clothing, so as to obtain a transferred target model clothing image.

IPC Classes  ?

• G06T 3/00 - Geometric image transformations in the plane of the image

Abstract

The present disclosure provides an image processing method and an image processing apparatus. The image processing method including replacing an object in a scene image with a preset template image to generate a virtual image; dividing the scene image into a plurality of image blocks with a preset size; determining pixel residuals of the scene image according to an average pixel value of pixel points in an area where the object is located in the scene image and an average pixel value of pixel points falling into the area where the object is located in each of the plurality of image blocks; determining illumination offsets according to the pixel residuals; and updating pixel values of pixel points in the virtual image according to the illumination offsets to implement illumination transfer.

IPC Classes  ?

• G06T 11/60 - Editing figures and textCombining figures or text
• G06T 7/11 - Region-based segmentation
• G06T 15/00 - 3D [Three Dimensional] image rendering
• G06V 10/25 - Determination of region of interest [ROI] or a volume of interest [VOI]
• G06V 10/56 - Extraction of image or video features relating to colour
• G06V 10/60 - Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model

Abstract

Disclosed in the embodiments of the present disclosure are a recommendation-information generation method and apparatus, and a device, a medium and a program product. A specific embodiment of the method comprises: acquiring a sequence of historically browsed creative images, a user sparse-feature information set, a main image and an article sparse-feature information set; performing image coding processing on the main image to obtain a main-image coding vector, and performing image coding processing on each historically browsed creative image to generate a historical image coding vector; performing information coding on each piece of user sparse-feature information to generate a user sparse-feature vector, and performing information coding on each piece of article sparse-feature information to generate an article sparse-feature vector; performing visual preference adjustment on each historical image coding vector, so as to obtain an adjusted historical image coding vector sequence; and generating a recommended image set which corresponds to a target recommended article and is to be pushed to a target user.

IPC Classes  ?

• G06F 16/9535 - Search customisation based on user profiles and personalisation
• G06F 16/535 - Filtering based on additional data, e.g. user or group profiles
• G06T 9/00 - Image coding

Abstract

A method and apparatus for training a classification model, and a device and a storage medium. The method for training a classification model comprises: acquiring a sample data set corresponding to a preset sensitive attribute, and determining attribute value sample categories corresponding to the preset sensitive attribute [S110]; on the basis of the current sampling ratio of the attribute value sample categories, sampling the sample data set to obtain a sample data subset, and training a preset classification model on the basis of the sample data subset [S120]; on the basis of a prediction category and a label category that correspond to each piece of sample data in the sample data subset, determining the next sampling ratio of the attribute value sample categories [S130]; and repeatedly executing the operations of training the preset classification model and determining the sampling ratio of the attribute value sample categories until a preset convergence condition is met, ending the training of the preset classification model, and taking, as a target classification model, the preset classification model of which the training has been ended [S140].

IPC Classes  ?

• G06V 10/70 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning
• G06N 3/08 - Learning methods

Abstract

Embodiments of the present disclosure provide a model training method and apparatus, and an image classification method and apparatus. The model training method comprises: acquiring a training sample set, wherein the training sample set comprises sample images corresponding to sample articles and a sample classification result of the sample images, and the sample images consist of sample first images and sample main images corresponding to the sample articles; then constructing an initial model comprising a residual neural network and a classification network; and finally, by using a machine learning method, and taking the sample images as an input of the residual neural network, acquiring first feature vectors corresponding to the sample first images and second feature vectors corresponding to the sample main images, and by taking the first feature vectors and the second feature vectors outputted by the residual neural network as an input of the classification network, and taking the sample classification result of the sample images as an expected output, training the initial model to obtain an image classification model.

IPC Classes  ?

• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

Abstract

A method and apparatus for pushing information. The method comprises: obtaining behavior information of at least one target user, and extracting target information from the behavior information (S201), wherein the target information comprises object identifiers of objects at which behaviors aim; determining similarities between the objects indicated by the extracted object identifiers, generating an object similarity matrix by using the similarities between the objects, and constructing a graph network by using the object similarity matrix (S202), wherein vertexes in the graph network are used for representing the objects, and edges of the graph network are used for representing the similarity among the objects; clustering, by using a graph community detection algorithm, the objects represented by the vertexes in the graph network to obtain a clustering result (S203); and pushing object information to a user terminal of the at least one target user on the basis of the clustering result (S204).

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06Q 30/0251 - Targeted advertisements

Abstract

The present disclosure relates to an item information push method. The item information push method includes: acquiring a plurality of attribute value sets of a to-be-promoted item according to preset value sets of a plurality of specified attributes; for the each attribute value set, determining an estimated warehouse-out quantity of the to-be-promoted item on a plurality of promotion platforms, according to historical traffic and historical warehouse-out quantities corresponding to a plurality of reference items and the historical traffic corresponding to the to-be-promoted item, on the plurality of promotion platforms; setting attribute values of the plurality of specified attributes of the to-be-promoted item according to the determined estimated warehouse-out quantity corresponding to the each attribute value set and the one set of values in the each attribute value set and sending the set attribute values to the plurality of promotion platforms.

IPC Classes  ?

• G06Q 30/0202 - Market predictions or forecasting for commercial activities
• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

Disclosed in embodiments of the present disclosure are a generation method for a self-supervised learning model and a generation method for a conversion rate estimation model. A specific implementation of the generation method for a self-supervised learning model comprises: inputting sample input data in first sample data into a first initial model, and predicting sample object information that is browsed at a target moment; determining a loss function value between the predicted sample object information and target sample object information; according to the result of comparison between the loss function value and a preset threshold, adjusting related parameters in the first initial model, and on the basis of the adjusted parameters, performing training until the training is completed; and determining the trained first initial model as a self-supervised learning model.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions
• G06Q 40/04 - Trading Exchange, e.g. stocks, commodities, derivatives or currency exchange
• G06N 3/0895 - Weakly supervised learning, e.g. semi-supervised or self-supervised learning

Abstract

An echo cancellation method and apparatus, and an electronic device and a storage medium. The echo cancellation method comprises: acquiring a first far-end voice signal and a first near-end voice signal (S101); respectively performing feature extraction on the first far-end voice signal and the first near-end voice signal, so as to obtain a first voice feature and a second voice feature (S102); on the basis of the first voice feature and the second voice feature, performing time delay alignment on the first far-end voice signal and the first near-end voice signal to obtain a post-alignment second far-end voice signal and second near-end voice signal (S103); and on the basis of the second far-end voice signal, performing echo cancellation on the second near-end voice signal to obtain a first target near-end voice signal after echo cancellation (S104).

IPC Classes  ?

• G10L 21/0208 - Noise filtering
• G10L 21/0216 - Noise filtering characterised by the method used for estimating noise

Abstract

Embodiments of the present invention provide a multimedia information generation method and apparatus, and a computer-readable storage medium. The method comprises: recalling article information and content information in response to a received browsing request; performing feature extraction on the basis of the article information and the content information to obtain article features corresponding to article dimensions and content features corresponding to content dimensions, and performing collaboration and fusion on the article features and the content features to obtain a plurality of groups of fused features; estimating the plurality of groups of fused features by means of a preset recommendation model, and selecting target article information and target content information corresponding to a group of fused features having the highest estimated value; and generating target multimedia information on the basis of the target article information and the target content information. According to the solution, feature extraction and combination are performed on article information and content information to obtain a plurality of fused features, such that generated target multimedia information is diversified, and the recommendation effect is good.

IPC Classes  ?

• G06F 16/9535 - Search customisation based on user profiles and personalisation

Abstract

Provided are an optimization method and apparatus for a question-and-answer knowledge base, and an electronic device, a readable storage medium, a computer program product and a computer program. The optimization method for a question-and-answer knowledge base comprises: selecting a target question sentence from question sets included in a question-and-answer knowledge base, and acquiring, according to the question sets, a target obfuscated question sentence corresponding to the target question sentence; and determining an associated knowledge point corresponding to the target obfuscated question sentence, and classifying the target obfuscated question sentence into a question set which corresponds to the associated knowledge point.

IPC Classes  ?

• G06F 16/36 - Creation of semantic tools, e.g. ontology or thesauri

Abstract

The present disclosure provides an image processing method and an image processing apparatus. The image processing method including: performing line detection on a boundary of an object in a scene image to obtain a plurality of candidate lines; taking one of the plurality of the candidate lines, which has the largest number of pixels overlapping with the boundary, as a first reference line; generating a minimum bounding rectangle of the object in the scene image; generating a transformed area, wherein each of four vertexes of the minimum bounding rectangle is on one of four sidelines of the transformed area; transforming a preset image into the transformed area to generate a transformed image; and overlaying the object with the transformed image to update the scene image.

IPC Classes  ?

• G06T 3/00 - Geometric image transformations in the plane of the image
• G06T 7/11 - Region-based segmentation
• G06T 7/13 - Edge detection
• G06T 7/187 - SegmentationEdge detection involving region growingSegmentationEdge detection involving region mergingSegmentationEdge detection involving connected component labelling

Abstract

An advertisement creative data selection method and apparatus, a model training method and apparatus, and a device and a storage medium. The advertisement creative data selection method comprises: acquiring candidate advertisement creative data corresponding to a target article (S110); acquiring a sparse feature vector and a picture feature vector which correspond to the candidate advertisement creative data, and obtaining, on the basis of the sparse feature vector, the picture feature vector and a pre-trained creative selection model, a recommendation probability value corresponding to the candidate advertisement creative data (S120); and selecting target advertisement creative data according to the recommendation probability value (S130).

IPC Classes  ?

• G06Q 30/02 - MarketingPrice estimation or determinationFundraising

Abstract

An image processing method and apparatus, a medium, and a device. The method comprises: on the basis of a target image size, determining a basic image matching the target image size (S110); extracting image elements in the basic image (S120); determining a processing mode for each image element on the basis of a size difference between the target image size and a basic image size and a deformation type of each image element, and processing the image elements on the basis of the determined processing modes to obtain processed image elements (S130); and splicing the processed image elements to obtain a target image (S140).

IPC Classes  ?

• G06V 10/75 - Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video featuresCoarse-fine approaches, e.g. multi-scale approachesImage or video pattern matchingProximity measures in feature spaces using context analysisSelection of dictionaries
• G06V 10/40 - Extraction of image or video features
• G06V 10/26 - Segmentation of patterns in the image fieldCutting or merging of image elements to establish the pattern region, e.g. clustering-based techniquesDetection of occlusion
• G06V 30/18 - Extraction of features or characteristics of the image

Abstract

Disclosed are a method and apparatus for sharing information. A particular embodiment of the method comprises: in response to detecting that a user selects article information from a preset candidate item information set, adding the selected article information to a target article information set; detecting whether the user executes a sharing operation with regard to the target article information set; and in response to detecting that the user has executed the sharing operation with regard to the target article information set, sending the target article information set to an object indicated by the sharing operation. According to the embodiment, the flexibility of information sharing is improved.

IPC Classes  ?

• G06Q 30/00 - Commerce
• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates
• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

A method and apparatus for generating text. The method comprises: receiving original text and an element tag (201); generating an encoded text feature vector, and an encoded sentence feature vector of each sentence in the original text; executing decoding steps comprising: determining a word attention weight of each word in the original text at the current moment on the basis of a hidden state vector of the decoder at the current moment and the encoded text feature vector (2031); determining a sentence attention weight of each sentence in the original text; determining a normalized word attention weight of each word in the original text at the current moment; and estimating a target word at the current moment; and generating target text on the basis of the target word output by the decoder at each moment (204).

IPC Classes  ?

• G06F 40/279 - Recognition of textual entities

Abstract

Embodiments of the present application disclose a visual processing method, apparatus, and system for front-end service logic. The method comprises: acquiring pre-compiled data of a front-end service logic file, the pre-compiled data comprising logic data of a component; updating original data in the component on the basis of the pre-compiled data corresponding to the component, rendering a plurality of updated components, and obtaining a service display page; and setting a visual identifier for a document object model obtained by rendering the updated component in the service display page, the document object model corresponding to the visual identifier triggering and displaying the logic data of the component corresponding to the document object model when the document object model is selected.

IPC Classes  ?

• G06F 8/34 - Graphical or visual programming
• G06F 8/38 - Creation or generation of source code for implementing user interfaces

Abstract

A human-computer interaction method and apparatus. Said method may include: receiving information of at least one modality of a user (201); identifying, on the basis of the information of the at least one modality, intention information of the user and user emotional features corresponding to the intention information (202); determining, on the basis of the intention information, reply information to the user (203); selecting, on the basis of the user emotional features, character emotional features to be fed back to the user (204); and generating, on the basis of the character emotional features and the reply information, a broadcast video of an animated character corresponding to the character emotional features (205).

IPC Classes  ?

• G06F 40/30 - Semantic analysis
• G06F 40/20 - Natural language analysis
• G06T 13/20 - 3D [Three Dimensional] animation
• G06T 13/40 - 3D [Three Dimensional] animation of characters, e.g. humans, animals or virtual beings
• G06V 40/16 - Human faces, e.g. facial parts, sketches or expressions

Abstract

The present disclosure provides a method and apparatus for generating a front-end code. The method includes: acquiring attribute information of view elements in a target UI view interface; determining child view elements corresponding to a given parent view element based on the attribute information of the view elements; determining, according alternately to row correlation information and column correlation information between the child view elements, nodes at different levels of a DOM, tree corresponding to the parent view element except a root node until each leaf node is an individual child view element, to obtain the DOM tree; and generating a complete front-end code corresponding to the target UI view interface based on the DOM tree.

IPC Classes  ?

• G06F 8/38 - Creation or generation of source code for implementing user interfaces
• G06F 8/34 - Graphical or visual programming

Abstract

A method and apparatus for determining a drug code. The method may include: obtaining a specification text of a drug (201); extracting drug key information in the specification text (202); obtaining, on the basis of a pre-created code inverted index, at least one code related to the drug key information and an ingredient corresponding to each code (203); and screening the at least one code on the basis of the drug key information and the ingredient corresponding to each code to obtain an anatomical therapeutic chemical classification system code of the drug (204).

IPC Classes  ?

• G16H 70/40 - ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage

Abstract

An information processing method and device. The method comprises: acquiring path information of sharing information of an online commodity in a process of being shared by respective levels of users, and operation information of respective levels of users for the sharing information (201); generating, according to the path information and operation information, user feature information corresponding to each level of user (202); inputting the user feature information and commodity feature information of the online commodity into a pre-trained reward calculation model to obtain reward information corresponding to respective levels of users (203); and determining, on the basis of the reward information of the users, information to be pushed (204).

IPC Classes  ?

• G06Q 30/0207 - Discounts or incentives, e.g. coupons or rebates
• G06Q 30/0211 - Determining the effectiveness of discounts or incentives

Abstract

Provided are a speech recognition method, a speech recognition apparatus, a computer readable storage medium, and an electronic device. The method comprises: obtaining a sample speech signal, decoding the sample speech signal, obtaining a decoding result, and extracting a first feature from the decoding result; extracting a target speech segment from the sample speech signal, obtaining a log magnitude spectrum of the target speech segment, and determining a second feature according to the log magnitude spectrum; combining the first feature and the second feature to obtain a third feature; training an untrained classifier by using the third feature so as to obtain a trained classifier; and obtaining a third feature to be recognized of a speech signal to be recognized, so as to determine whether the third feature to be recognized comprises a prepositive word.

IPC Classes  ?

• G10L 15/08 - Speech classification or search
• G10L 15/02 - Feature extraction for speech recognitionSelection of recognition unit
• G10L 15/04 - SegmentationWord boundary detection

Abstract

Provided are a copywriting generation method and apparatus, and a storage medium. The method comprises: receiving search information sent by the client, and in response to the search information, acquiring corresponding item title information, item feature information and item detail information; by using a first preset latent variable model, processing a calculated first semantic representation vector to obtain a first target vector; and by using a second preset latent variable model, processing a calculated target latent vector, the first target vector and a second semantic representation vector calculated on the basis of the item detail information, so as to obtain a second target vector; and by combining the second target vector and the first semantic representation vector, determining target copywriting by means of a preset dialogue system model so as to send same to the client.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions

Abstract

A method and apparatus for storing data are provided. The method comprises: obtaining a dataset to be stored and a storage model, wherein said dataset comprises a source storage parameter, and the storage model comprises a target storage parameter; in response to determining that the source storage parameter is consistent with the target storage parameter, obtaining a storage key value of said dataset; obtaining raw data that is written into said dataset for the first time and corresponds to the source storage parameter and change data that is in said dataset and corresponds to the source storage parameter; and storing the raw data and the change data in the storage model according to the storage key value.

IPC Classes  ?

• G06F 16/20 - Information retrievalDatabase structures thereforFile system structures therefor of structured data, e.g. relational data
• G06F 16/215 - Improving data qualityData cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• G06F 16/22 - IndexingData structures thereforStorage structures

Abstract

A method for processing warehousing data includes: obtaining attribute data of a preset object from a warehousing data table; determining safety inventory data of the preset object and target inventory data of the preset object according to the attribute data of the preset object; obtaining current inventory data of the preset object from the warehousing data table; determining, in response to that the current inventory data of the preset object is less than or equal to the safety inventory data of the preset object, a replenishment quantity of the preset object according to the target inventory data of the preset object and the current inventory data of the preset object; and sending the replenishment quantity of the preset object to a warehouse management system, causing the warehouse management system to perform replenishment according to the replenishment quantity of the preset object.

IPC Classes  ?

• G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

The present disclosure relates to the field of data processing. Disclosed are an order processing method and apparatus, and a computer-readable storage medium. The order processing method comprises: performing path planning according to reception addresses of orders in an order pool, so as to generate path aggregation orders corresponding to a path planning result; and generating one or more goods-picking aggregation orders according to the path aggregation orders. Provided in the embodiments of the present disclosure is an intelligent logistics solution. Path planning is performed by using reception addresses in orders, and the orders are aggregated by means of a path planning result, so as to generate path aggregation orders, such that subsequent sorting and distribution operations are performed according to the path aggregation orders.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions

Abstract

A method and apparatus for generating a page are provided. The method comprises: obtaining initial color information and size information of a target element in a window of an initial page; based on the initial color information, using a first color transformation strategy to generate simulated color information of the target element; in response to determining that the simulated color information of the target element satisfies a preset condition, on the basis of the initial color information of the target element, using a second color transformation strategy to generate target color information of the target element, the present condition representing the degree of friendliness of a simulated color to the characteristic population; and redrawing the target element on the basis of the target color information and size information to obtain a target page.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06F 40/154 - Tree transformation for tree-structured or markup documents, e.g. XSLT, XSL-FO or stylesheets

Abstract

An information transmission method, system and apparatus are provided. The method comprises: in response to reception of a data request sent by a client, parsing content of the data request to obtain identification information corresponding to the data request; in response to the identification information being null, obtaining a first data set corresponding to the data request; dividing all pieces of data in the first data set on the basis of data resources of the pieces of data and data time lengths of the pieces of data to obtain a second data set corresponding to the first data set, the division indicating performing division of data request order on all the pieces of data in the first data set on the basis of the data time lengths; and sending the second data set to the client.

IPC Classes  ?

• H04L 67/60 - Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
• H04L 69/22 - Parsing or analysis of headers

Abstract

A custom tone and vocal synthesis method and apparatus, an electronic device, and a storage medium. The synthesis method comprises: training a first neural network by means of a speaker record sample to obtain a speaker recognition model, the output training result of the first neural network being a speaker vector sample (S102); training a second neural network by means of an unaccompanied vocal singing sample and the speaker vector sample to obtain an unaccompanied singing synthesis model (S104); inputting a speaker record to be synthesized into the speaker recognition model to obtain speaker information output by the intermediate hidden layer of the speaker recognition model (S106); and inputting unaccompanied singing music information to be synthesized and the speaker information into the unaccompanied singing synthesis model to obtain a synthesized custom tone and vocal (S108).

IPC Classes  ?

• G10L 13/027 - Concept to speech synthesisersGeneration of natural phrases from machine-based concepts
• G10L 13/033 - Voice editing, e.g. manipulating the voice of the synthesiser
• G10L 13/08 - Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination
• G10L 15/06 - Creation of reference templatesTraining of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
• G10L 15/16 - Speech classification or search using artificial neural networks

Abstract

An image generation method and apparatus. The method includes: performing image composition on the basis of an acquired image generation condition, and determining a primitive type and layout information of an image, so as to obtain a composition image (201); according to scenario construction information corresponding to the image generation condition, performing scenario construction on the composition image, and determining a primitive corresponding to each primitive type from among a plurality of primitive types in the composition image, so as to obtain a scenario construction image (202); adjusting the color of each primitive in the scenario construction image according to color matching information corresponding to the image generation condition, so as to obtain a color-matched image (203); and rendering the color-matched image to obtain a target image (204).

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06T 11/60 - Editing figures and textCombining figures or text
• G06V 10/56 - Extraction of image or video features relating to colour
• G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces

Abstract

A video generation method and apparatus. The method may include: determining one template from multiple types of templates as a production template on the basis of an input instruction of a user (201); in response to determining that the type of commodity information inputted by the user is matched with the type of the production template, obtaining a commodity picture or commodity video material related to the commodity information (202); and processing the commodity picture or commodity video material on the basis of the production template to generate a commodity video (203).

IPC Classes  ?

• H04N 21/81 - Monomedia components thereof
• H04N 21/254 - Management at additional data server, e.g. shopping server or rights management server
• H04N 21/431 - Generation of visual interfacesContent or additional data rendering
• H04N 21/845 - Structuring of content, e.g. decomposing content into time segments

Abstract

The present application discloses a file update method, said method comprising: downloading an update data package to a target disk partition where a file package to be updated is located, the update data package being used for updating said file package; performing virtual combination on a directory of said file package and a directory of the update data package to obtain a temporary file package; and in cases where the verification of the temporary file package is successful, incorporating the update data package into the directory of said file package. In addition, the present application further discloses a file update apparatus, a device and a storage medium.

IPC Classes  ?

• G06F 8/65 - Updates
• G06F 11/36 - Prevention of errors by analysis, debugging or testing of software

Abstract

The present disclosure relates to a method and device for generating video preview content, a computer device and a storage medium. The method for generating video preview content includes parsing a video to be processed, to obtain all image frames of the video to be processed and generate a list of ordered image frames; processing the list of the ordered image frames by image recognition to filter out a slice header and a slice tail of the video; and generating preview content of the video based on a list of the filtered image frames.

IPC Classes  ?

• H04N 21/8549 - Creating video summaries, e.g. movie trailer
• G06V 10/74 - Image or video pattern matchingProximity measures in feature spaces
• G06V 20/40 - ScenesScene-specific elements in video content
• G06V 20/62 - Text, e.g. of license plates, overlay texts or captions on TV images

Abstract

A copy generation method and apparatus, an electronic device, a computer storage medium and a computer program product. The method comprises: acquiring first attribute data of a commodity (100); determining first key attribute data of the commodity on the basis of a pre-trained first copy generation model, wherein the first key attribute data represents part of the first attribute data (101); obtaining a first candidate copy set for the commodity according to the first key attribute data, wherein the first candidate copy set represents a set of at least one piece of commodity copy (102); and screening candidate copy data according to a quality determination rule, and determining a target commodity copy, wherein the candidate copy data comprises the commodity copy in the first candidate copy set (103).

IPC Classes  ?

• G06F 40/166 - Editing, e.g. inserting or deleting
• G06F 40/106 - Display of layout of documentsPreviewing
• G06F 40/10 - Text processing
• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

A computing power distribution method, a computing power service method, a computing power testing method, and a system and a storage medium, which relate to the technical field of computers. The computing power distribution method comprises: for each computing power distribution level, determining a relative gain of an effect of processing the current service request with respect to consumption thereof (11); and comparing relative gains corresponding to different computing power distribution levels, and determining to use a computing power distribution level, which has the maximum relative gain, as a computing power distribution level at which a service device processes a service request (12).

IPC Classes  ?

• G06F 9/48 - Program initiatingProgram switching, e.g. by interrupt

Abstract

Disclosed in the embodiments of the present disclosure is an arc-shaped lamp. A specific embodiment of the arc-shaped lamp comprises: a light source; an arc-shaped light-guiding plate is arranged above the light source, a plurality of light-guiding points being arranged on the surface of the arc-shaped light-guiding plate, and the arc-shaped light-guiding plate being used for reflecting light rays emitted by the light source; and a light-guiding plate case, comprising a light-guiding plate upper cover and a light-guiding plate lower cover, light-transmitting windows being formed respectively in the light-guiding plate upper cover and the light-guiding plate lower cover, and the arc-shaped light-guiding plate and the light source being arranged between the light-guiding plate upper cover and the light-guiding plate lower cover.

IPC Classes  ?

• F21V 8/00 - Use of light guides, e.g. fibre optic devices, in lighting devices or systems

Abstract

Disclosed in the embodiments of the present disclosure are a generation method and apparatus for user preferred item information, and an electronic device and a medium. A specific implementation manner of the method comprises: acquiring current time information corresponding to a current user operation; performing vector coding on the current time information, so as to obtain a time coded vector; acquiring a user interest dictionary of an operation user who is associated with the current user operation, wherein the user interest dictionary comprises a plurality of vector pairs in the form of a binary group, and each vector pair comprises a time feature vector and a user preferred item feature vector; screening out at least one target vector pair from the user interest dictionary according to the time coded vector; and according to the at least one user preferred item feature vector, generating at least one piece of user preferred item information corresponding to the operation user at the current time information.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions

Abstract

Disclosed in the embodiments of the present application are a copywriting generation method and apparatus, a model training method and apparatus, and a device and a storage medium. The copywriting generation method comprises: acquiring corresponding object information and corresponding copywriting type information of a target object; inputting the object information and the copywriting type information into a copywriting generation model, so as to obtain copywriting information; and correcting the copywriting information by using the object information, so as to obtain target copywriting.

IPC Classes  ?

• G06F 40/186 - Templates
• G06F 40/126 - Character encoding
• G06N 20/00 - Machine learning

Abstract

Provided are a method and apparatus of embedding an image in video, and a method and apparatus of acquiring a plane prediction model, relating to the field of image processing. The method includes inputting a video frame image of a video into a plane prediction model to obtain a predicted plane mask of the video frame image, the plane prediction model being obtained by training a deep learning model using training images with labels having plane detection frames and plane masks; embedding the image to be embedded into the predicted plane mask of the video frame image.

IPC Classes  ?

• G06T 1/00 - General purpose image data processing
• G06T 5/20 - Image enhancement or restoration using local operators
• G06T 7/13 - Edge detection
• G06V 10/24 - Aligning, centring, orientation detection or correction of the image
• G06V 20/70 - Labelling scene content, e.g. deriving syntactic or semantic representations

Abstract

The present application relates to the technical field of the Internet of Things. Disclosed are a data processing method and apparatus. A specific embodiment of the method comprises: performing gridding on a service map; for each grid cell, calculating the product of an arrangement number of the grid cells in the longitudinal direction and a preset numerical value, and taking the sum of the product and an arrangement number of the grid cells in the transverse direction as an address coding identifier of the grid cells; and receiving an input address code identifier, a service keyword and a service range, performing grid cell positioning on the basis of the input address code identifier, taking a positioned grid acell s a center to search for other grid cells that are in line with the service range, and returning spatial data, which is in line with the service keyword, in the other grid cells and displaying same.

IPC Classes  ?

• G06F 16/951 - IndexingWeb crawling techniques

Abstract

The embodiments of the present application relate to the technical field of intelligent supply chain. Disclosed are a warehouse information processing method and apparatus, and a storage medium. The method comprises: receiving order information and warehouse information; determining, from the warehouse information, a first warehouse corresponding to first information of a commodity to be subjected to warehouse determination that is in the order information, and a first tentatively determined warehouse corresponding to second information of a commodity to be subjected to warehouse determination, other than said first information, that is in the order information; according to the first warehouse and the first tentatively determined warehouse, determining a first warehouse determination parameter corresponding to the order information, until second warehouse determination parameters corresponding to each piece of information of a commodity to be subjected to warehouse determination that is in the order information when said information refers to different warehouses in the warehouse information are determined; and according to the first warehouse determination parameter and each second warehouse determination parameter, determining a target warehouse from the warehouse information, so as to acquire, from the target warehouse, a first commodity to be subjected to warehouse determination.

IPC Classes  ?

• G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
• G06Q 10/06 - Resources, workflows, human or project managementEnterprise or organisation planningEnterprise or organisation modelling
• G06Q 30/06 - Buying, selling or leasing transactions

Abstract

Embodiments of the present application provide a method and apparatus for determining a quantity of an object, and a storage medium, the method includes: receiving (S101) a request for calling a distribution service sent by a first device, where the request for calling the distribution service includes distribution rule data and a business distribution identifier of a to-be-distributed object, and the first device is a device corresponding to an object distributing node; acquiring (S102) a target distribution rule corresponding to the business distribution identifier of the to-be-distributed object according to a stored correspondence between a business distribution identifier and a distribution rule; determining (S103) a quantity of the to-be-distributed object distributed to each downstream node according to the target distribution rule and the distribution rule data, and sending (S103) the quantity of the to-be-distributed object distributed to each downstream node to the first device.

IPC Classes  ?

• G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

A method and apparatus for recommending information are provided. The method includes: acquiring, in response to determining that a user enters a preset interface based on a first preset operation of the user, operation information within a preset length of time before the user performs the first preset operation; determining behavior data of the user browsing the preset interface based on the operation information; and determining recommendation information for the user based on the behavior data, and displaying the recommendation information in the preset interface.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

A particular embodiment includes issuing a feature configuration template, such that a user configures, on a configuration interface, the content of the feature configuration template; receiving configuration content configured by the user for the feature configuration template and at least one set of time sequence data to generate at least one set of data feature values.

IPC Classes  ?

• G06F 16/24 - Querying
• G06F 16/2458 - Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries

Abstract

A data display method and an apparatus. The method includes: obtaining, from a first device, an object parameter and a service forecast quantity of a first object in a first service unit, and an available quantity of the first object; determining a first replenishment quantity for making replenishment for the first object in the first service unit according to the object parameter and the service forecast quantity; and determining a second replenishment quantity for replenishment that needs to be made for the first object in the first service unit according to the available quantity and the first replenishment quantity, and displaying the second replenishment quantity, which is used to improve an efficiency of making replenishment for the first object in the first service unit.

IPC Classes  ?

• G06Q 10/087 - Inventory or stock management, e.g. order filling, procurement or balancing against orders

Abstract

Disclosed in the embodiments of the present application are an image rendering method and apparatus, and a storage medium. The method comprises: when dynamic image data is received, transmitting the dynamic image data to a dynamic image rendering module by means of a layer rendering interface; by using the dynamic image rendering module, determining, according to preset frame information, a dynamic effect frame attribute corresponding to the dynamic image data; and rendering the dynamic effect frame attribute into the dynamic image data to obtain rendered data, so as to acquire the dynamic image data from the rendered data according to the dynamic effect frame attribute.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation

Abstract

A page rendering method and apparatus, an electronic device, and a computer readable storage medium. The method comprises: determining first information corresponding to each page sub-template of at least two page sub-templates, the first information at least comprising an amount of offset, the at least two page sub-templates representing page sub-templates obtained by performing region division on a page template in a picture file format, and the amount of offset being used to identify a position of the corresponding page sub-template in the page template; on the basis of the first information corresponding to each page sub-template, rendering layer data corresponding to each page sub-template of the at least two page sub-templates at a corresponding position of a set view container.

IPC Classes  ?

• G06F 16/958 - Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

The present application relates to the technical field of computers. Disclosed are a product word disambiguation method and apparatus. A specific embodiment of the method comprises: traversing a product word list to be disambiguated, and determining a product word appearing in an ambiguity dictionary as an ambiguous product word; acquiring, according to the ambiguity dictionary, a candidate disambiguation entry corresponding to the ambiguous product word and an entry vector of the candidate disambiguation entry; calculating a feature vector of the ambiguous product word according to a description statement where the ambiguous product word is located, wherein the description statement comprises a plurality of unrelated words which are stacked together; and performing similarity comparison on the feature vector of the ambiguous product word and the entry vector of the candidate disambiguation entry to determine a substitute word of the ambiguous product word, and substituting the substitute word for the ambiguous product word for disambiguation of the product word.

IPC Classes  ?

• G06F 40/284 - Lexical analysis, e.g. tokenisation or collocates

Abstract

Provided are a data processing method and apparatus, and an electronic device and a storage medium, which relate to the technical field of computers. The data processing method comprises: acquiring data to be subjected to statistics collection, and performing fragmentation processing on said data to generate task fragment data; distributing the task fragment data to an event listener by means of a preset event broadcaster; and on the basis of the event listener, querying and assembling data according to the task fragment data, so as to generate multi-level category data corresponding to the data to be subjected to statistics collection.

IPC Classes  ?

• G06F 16/2458 - Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
• G06F 16/215 - Improving data qualityData cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• G06F 16/28 - Databases characterised by their database models, e.g. relational or object models

Abstract

Embodiments of the present disclosure disclose an image processing method and apparatus, and a computer readable storage medium. The method includes: obtaining at least one page image of a current full-screen page in a webpage application; converting the at least one page image into at least one file object, and creating at least one link path of the at least one file object, each of the at least one file object corresponding to the respective at least one link path; and creating at least one picture object, and associatively saving the at least one picture object and the at least one link path in webpage application cache to complete taking a screenshot of the current full-screen page. Through the embodiments of the present disclosure, the screenshot capturing performance of the webpage application can be improved.

IPC Classes  ?

• G06F 16/958 - Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• G06F 3/04845 - Interaction techniques based on graphical user interfaces [GUI] for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range for image manipulation, e.g. dragging, rotation, expansion or change of colour
• G06F 9/451 - Execution arrangements for user interfaces

Abstract

The present disclosure provides an article attribute recommendation model training method, an article recommendation attribute generation method and apparatuses, and a storage medium. The training method comprises: determining first associated article information on the basis of a first article picture and an article label attribute; generating first image association feature information on the basis of the first associated article information; and obtaining first article category information and first article total attribute information corresponding to an article; and training an article attribute recommendation model by using the first article picture, the first image association feature information, the first article category information, the first article total attribute information, as well as the article label attribute and an article label attribute value.

IPC Classes  ?

• G06V 10/82 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
• G06V 10/774 - Generating sets of training patternsBootstrap methods, e.g. bagging or boosting
• G06F 18/00 - Pattern recognition
• G06N 3/04 - Architecture, e.g. interconnection topology
• G06N 3/08 - Learning methods
• G06Q 30/06 - Buying, selling or leasing transactions

Abstract

Disclosed are a data query method, a data writing method, a related apparatus and a system. A specific embodiment comprises: in response to a received data query request, obtaining a liveness probe result for each storage cluster, the liveness probe result indicating whether a corresponding storage cluster is currently available; according to the liveness probe result for each storage cluster, determining an available storage cluster list; and selecting a target available storage cluster from the available storage cluster list according to a cluster selection setting, and sending the data query request to the target available storage cluster, so that the target available storage cluster returns a corresponding data query result.

IPC Classes  ?

• G06F 16/21 - Design, administration or maintenance of databases

Abstract

A method for rendering hair is provided and includes: obtaining a first rendered result by performing transparent channel test rendering on a specified pixel point in a hair model, wherein the specified pixel point is a pixel point with a pixel depth value less than a preset depth threshold and a transparency channel value greater than a preset transparency threshold; obtaining a second rendered result by performing transparent channel hybrid rendering on a backlight pixel point of the hair model based on the first rendered result; obtaining a third rendered result by performing transparent channel hybrid rendering on a light-oriented pixel point of the hair model based on the second rendered result; obtaining a final rendered result of the hair model by hybridizing the first rendered result, the second rendered result and the third rendered result.

IPC Classes  ?

• G06T 11/00 - 2D [Two Dimensional] image generation
• G06T 15/00 - 3D [Three Dimensional] image rendering

Abstract

Embodiments of the present application disclose an information pushing method, a server, a client, and a storage medium. The method comprises: when a hypertext transfer request transmitted by the client is received, establishing a transmission control protocol connection with the client according to the hypertext transfer request; adding the transmission control protocol connection to a storage pool, wherein the storage pool comprises at least one transmission control protocol connection; and when information to be pushed corresponding to the client is acquired, pushing the information to the client by using the transmission control protocol connection in the storage pool.

IPC Classes  ?

• H04L 67/025 - Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications

Abstract

The present disclosure relates to a dialogue abstract generation method and apparatus, and a model training method and device. The dialogue abstract generation method comprises: modeling semantic coherence in a comparative learning mode, determining dialogue theme information, and generating a dialogue abstract generation model; and inputting target dialogue content into the dialogue abstract generation model to obtain abstract information of the target dialogue content. According to the present disclosure, the theme information of the dialogue content can be implicitly learned, abstract generation is carried out for different themes, and additional labeling is not needed.

IPC Classes  ?

• G06F 40/35 - Discourse or dialogue representation

Abstract

Provided are a user feature-based page displaying method and apparatus, a medium and an electronic device. When performing product recommendation to a user, label data representing a feature of the user is acquired; a similarity between the user and each user group of a plurality of user groups obtained in advance is calculated according to the label data; then, based on the similarity, one or more target user groups having the highest similarity to the user is selected from the plurality of user groups; and then page modules corresponding to these target user groups are acquired; then, on a recommendation page displayed to the user, product information is recommend through these page modules respectively, where each page module clusters products having one attribute.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]

Abstract

Provided in the embodiments of the present application are a cargo information processing method, apparatus and device. The method comprises: determining a first warehouse and a second warehouse from a plurality of preset warehouses, wherein the first warehouse is a warehouse to be subjected to replenishment, and the second warehouse is a warehouse which is to replenish the first warehouse; determining the number of cargo for replenishing the first warehouse and the number of cargo of the second warehouse that needs to be allocated; generating a plurality of replenishment policies according to the number of cargo for replenishing the first warehouse and the number of cargo of the second warehouse that needs to be allocated, wherein each replenishment policy comprises a first number of cargo that is to be allocated from the second warehouse to replenish the first warehouse, and a second number of cargo that is to be allocated from a third-party warehouse to replenish the first warehouse; and acquiring a target energy-consumption value corresponding to each replenishment policy, and determining a target replenishment policy from the plurality of replenishment policies according to the target energy-consumption value corresponding to each replenishment policy.

IPC Classes  ?

• G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management

Abstract

The present disclosure discloses an image configuration method, device and system, and a storage medium, relating to the technical field of terminal applications. The image configuration method includes: downloading an image configuration table, wherein the image configuration table includes identifiers of images to be adjusted in a terminal application, and links of the images at a server; in response to detecting, via monitoring, a request to load an image, detecting whether or not an identifier of the requested image is present in the image configuration table; and if so, downloading, according to the identifiers of the images and the links of the images at the server in the image configuration table, an adjustment image from the server, and loading the adjustment image.

IPC Classes  ?

• G06F 8/71 - Version control Configuration management
• G06T 11/60 - Editing figures and textCombining figures or text

Abstract

Disclosed in the embodiments of the present disclosure are a video stream data acquisition method and apparatus, and an electronic device and a computer-readable medium. A particular embodiment of the method comprises: in response to receiving a stream pull data packet which is sent by a target terminal, determining whether a machine room identifier of a communication machine room which receives the stream pull data packet is the same as a target machine room identifier which is comprised in connection identifiers in the stream pull data packet, wherein the stream pull data packet is generated when the target terminal is playing a video stream, and the target machine room identifier is a machine room identifier of a communication machine room which receives the first stream pull data packet that is generated when the target terminal is playing the video stream; in response to determining that the target machine room identifier is different from the machine room identifier of the communication machine room which receives the stream pull data packet, forwarding the stream pull data packet to a target communication machine room corresponding to the target machine room identifier; and acquiring video stream data by means of the target communication machine room.

IPC Classes  ?

• H04N 21/239 - Interfacing the upstream path of the transmission network, e.g. prioritizing client requests

Abstract

The present disclosure relates to the technical field of computers. Provided in the present disclosure are an image processing method and apparatus. A specific embodiment of the method comprises: acquiring an image to be processed; determining a face center point and a face area in the image to be processed; determining processing intensity of each target pixel point in the face area, the processing intensity of each target pixel point being inversely proportional to a target distance corresponding to the target pixel point, and each target distance being the distance between the corresponding target pixel point and the face center point; and performing face beautification processing on the face area by using the processing intensity of each target pixel point. The embodiment can achieve smooth transition between processed areas and unprocessed areas of a processed image.

IPC Classes  ?

• G06T 5/00 - Image enhancement or restoration

Abstract

Disclosed in embodiments of the present disclosure are a method and apparatus for detecting false transaction orders. An embodiment of the method comprises: acquiring a to-be-tested order set, orders in the order set comprising features on same dimensions; constructing a graph structure on the basis of the order set, each node in the graph structure representing one order, and the each node has at least one feature identical to a feature of an adjacent node of the each node; for a target node in the graph structure, determining real neighboring nodes from all neighboring nodes of the target node; aggregating a feature of the target node with features of the real neighboring nodes, to obtain an aggregated feature; and inputting the aggregated feature into a logistic regression model, to determine whether the target node is a false transaction order.

IPC Classes  ?

• G06Q 30/0601 - Electronic shopping [e-shopping]
• G06N 3/048 - Activation functions
• G06N 3/09 - Supervised learning

Abstract

The present invention provides are a time sequence traffic prediction method and apparatus, a storage medium, and an electronic device. The method comprises: obtaining historical service time sequences; processing the historical service time sequences to obtain a historical time sequence thermodynamic map; extracting image feature data from the historical time sequence thermodynamic map; and processing the image feature data to obtain predicted time sequence traffic of the historical service time sequences. The historical service time sequences are converted into a historical time sequence thermodynamic map, and image feature data are extracted from the historical time sequence thermodynamic map. The image feature data comprises features of various high dimensions of time sequences, and covers global and local related features of the time sequences. Predicted time sequence traffic of the historical service time sequences may be obtained by means of processing the image feature data. The image feature data covering the features of the high dimensions are introduced, thereby effectively improving the accuracy of predicting time sequence traffic.

IPC Classes  ?

• G06V 10/764 - Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects

Abstract

Embodiments of the present disclosure disclose a restocking system, a method, and a device. The system comprises a sharding node and a restock amount calculation node; in response to a received restock task, the sharding node generates a task identifier of the restock task; attribute data of the restock task is looked up from a cache, and the attribute data of the restock task is sharded; for each data shard, a shard identifier of the data shard is generated, and a correspondence relationship between the task identifier, the shard identifier, and the data shard are stored in the cache; a shard index of the restock task is sent to the restock amount calculation node, the shard index comprising the task identifier and a shard identifier; in response to the received shard index, the restock amount calculation node obtains a data shard corresponding to the shard index from the cache, and obtains restock demand data corresponding to the data shard from cached restock demand data; and a restock amount corresponding to the data shard is determined according to the data shard and the corresponding restock demand data.

IPC Classes  ?

• G06Q 30/06 - Buying, selling or leasing transactions
• G06F 16/25 - Integrating or interfacing systems involving database management systems

Abstract

An e-mail tracking method and apparatus. The method comprises: acquiring an e-mail to be processed in a mailbox; determining whether said e-mail includes a feature identifier; if so, parsing the feature identifier to obtain a task code of said e-mail, wherein the feature identifier is obtained on the basis of the task code; and on the basis of the task code corresponding to said e-mail, tracking other e-mails related to said e-mail. Whether an e-mail to be processed includes a feature identifier is determined, such that an e-mail including a feature identifier can be parsed to obtain an implicit task code in the e-mail, and accordingly said e-mail is tracked on the basis of the task code.

IPC Classes  ?

• H04L 51/234 - Monitoring or handling of messages for tracking messages

Abstract

The present application provides a warehouse determination method, apparatus, and device, which are applied to the technical field of intelligent logistics. The method comprises: determining N warehouses to be selected in a preset area and at least one grid area corresponding to each said warehouse; obtaining historical order information corresponding to each grid area; determining a plurality of warehouse combinations according to N said warehouses, each warehouse combination comprising at least one said warehouse; determining coverage information corresponding to each warehouse combination according to the at least one said warehouse comprised in each warehouse combination, the at least one grid area corresponding to each said warehouse, and the historical order information corresponding to each grid area, the coverage information comprising an area coverage rate and an order coverage rate; and determining a target warehouse combination from the plurality of warehouse combinations according to the coverage information corresponding to the warehouse combinations. In this way, the accuracy of warehouse position determination is improved.

IPC Classes  ?

• G06Q 10/08 - Logistics, e.g. warehousing, loading or distributionInventory or stock management
• G06Q 30/06 - Buying, selling or leasing transactions
• G06Q 50/28 - Logistics, e.g. warehousing, loading, distribution or shipping

Abstract

The present disclosure relates to the technical field of computers, and provides a method and device for processing a request. A specific embodiment of the method comprises: intercepting a current request and matching an interface switching identifier corresponding to a service type code carried by the current request; setting the interface switching identifier into a system context, and releasing the current request, so that the current request accesses a proxy interface; and obtaining the interface switching identifier from the system context by means of the proxy interface, generating a target interface instance name corresponding to the interface switching identifier, and then matching a target interface instance corresponding to the target interface instance name so as to access a method of the target interface instance to process the current request. According to the embodiment, the technical problem that the forwarded parameters or conditions cannot be flexibly adjusted is solved.

IPC Classes  ?

• G06F 16/25 - Integrating or interfacing systems involving database management systems