Payscale

États‑Unis d’Amérique

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Juridiction
        États-Unis 8
        International 1
Date
2025 1
2024 2
2023 3
2022 3
Classe IPC
G06Q 10/1053 - Emploi ou embauche 4
G06Q 10/10 - BureautiqueGestion du temps 2
G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données 1
G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu 1
G06Q 40/12 - Comptabilité 1
Statut
En Instance 8
Enregistré / En vigueur 1
Résultats pour  brevets

1.

System and Method for Automated Acquisition and Integration of Survey Data

      
Numéro d'application 18904977
Statut En instance
Date de dépôt 2024-10-02
Date de la première publication 2025-01-23
Propriétaire Payscale (USA)
Inventeur(s)
  • Phillabaum, Adam
  • Kielpinski, Bryan
  • Cooper, Elizabeth
  • Johnson, Thomas

Abrégé

According to one aspect of the invention, a dynamic, computer enabled, transformative process includes a plurality of steps, wherein raw data is first detected, flattened, transformed, and mapped to a new set of headers and/or reordered as needed to facilitate a wide variety of survey export formats uploadable to products useful by clients using associated software. According to other aspects, the file detection process automates a historic process of opening files and looking at certain attributes of the file format to confirm that the file is a certain survey from a publisher and handled appropriately after the metadata information is detected from the raw file. File formats are detected using a combination of file attributes and pattern recognition; for example, filenames, the number of sheets in a workbook, and the number of words in workbook might be appropriate file attributes in a particular application.

Classes IPC  ?

2.

System and Method for Matching Job Services Using Deep Neural Networks

      
Numéro d'application 18823174
Statut En instance
Date de dépôt 2024-09-03
Date de la première publication 2024-12-26
Propriétaire Payscale (USA)
Inventeur(s)
  • Harrington, Sean
  • Trouillaud, Adrien
  • Mcclure, Nickolas
  • Herron, Casey
  • Dawson-Elli, Neal
  • Scovell, Galen

Abrégé

An automated business method for matching education, salary and other employment-related data is disclosed. In one example embodiment, the automated business method includes integrating of two or more neural networks to match job-related services.

Classes IPC  ?

3.

Computer Enabled Business Method for Quality Checking and Classifying Third Party Data

      
Numéro d'application 18787228
Statut En instance
Date de dépôt 2024-07-29
Date de la première publication 2024-11-21
Propriétaire Payscale (USA)
Inventeur(s) White, Jesse

Abrégé

Business and automation methods relating to management of education, salary and other employment data are provided. According to one aspect of the invention, a computer enabled business method for checking quality and classifying third party education and other employment data is provided that filters, transforms and dynamically improves the basic functionality of a computer with respect to associated data management.

Classes IPC  ?

4.

System and Method for Crowd-Sourced Compensation

      
Numéro d'application 18085822
Statut En instance
Date de dépôt 2022-12-21
Date de la première publication 2023-08-10
Propriétaire Payscale (USA)
Inventeur(s) Harrington, Sean

Abrégé

A method for crowd-sourced compensation ranging is provided, the method including, at least, (a) consideration of one or more of a candidate's base pay, bonus, and total annual compensation; (b) one or more of the candidate's job title and physical or virtual location; and (c) one or more experience-based compensable factors, including a candidate's specific skills, certifications, years of experience, and/or management roles.

Classes IPC  ?

5.

Systems and Methods for Crowd-Sourced Compensation Ranging

      
Numéro d'application 18085877
Statut En instance
Date de dépôt 2022-12-21
Date de la première publication 2023-06-29
Propriétaire Payscale (USA)
Inventeur(s)
  • Harrington, Sean
  • Herron, Casey
  • Dawson-Elli, Neal
  • Dunning, James
  • Steuben, Krista
  • Difabio, Stefano

Abrégé

A method for crowd-sourced compensation ranging is provided, the method including, at least, inclusion, analysis and application of a wide variety of available compensable factors, including one or more crowd-sourced compensable factors.

Classes IPC  ?

6.

System and Method for Matching Job Services Using Deep Neural Networks

      
Numéro d'application 17870152
Statut En instance
Date de dépôt 2022-07-21
Date de la première publication 2023-01-26
Propriétaire Payscale (USA)
Inventeur(s)
  • Harrington, Sean
  • Trouillaud, Adrien
  • Mcclure, Nicholas
  • Herron, Casey
  • Dawson-Elli, Neal
  • Scovell, Galen

Abrégé

An automated business method for matching education, salary and other employment-related data is disclosed. In one example embodiment, the automated business method includes integrating of two or more neural networks to match job-related services.

Classes IPC  ?

7.

Computer Enabled Business Method for Quality Checking and Classifying Third Party Data

      
Numéro d'application 17844202
Statut En instance
Date de dépôt 2022-06-20
Date de la première publication 2022-12-29
Propriétaire Payscale (USA)
Inventeur(s) White, Jesse

Abrégé

Business and automation methods relating to management of education, salary and other employment data are provided. According to one aspect of the invention, a computer enabled business method for checking quality and classifying third party education and other employment data is provided that filters, transforms ins and dynamically improves the basic functionality of a computer with respect to associated data management.

Classes IPC  ?

8.

System and Method for Automated Acquisition and Integration of Survey Data

      
Numéro d'application 17732138
Statut En instance
Date de dépôt 2022-04-28
Date de la première publication 2022-11-03
Propriétaire Payscale (USA)
Inventeur(s)
  • Phillabaum, Adam
  • Kielpinski, Bryan
  • Cooper, Elizabeth
  • Johnson, Thomas

Abrégé

According to one aspect of the invention, a dynamic, computer enabled, transformative process includes a plurality of steps, wherein raw data is first detected, flattened, transformed, and mapped to a new set of headers and/or reordered as needed to facilitate a wide variety of survey export formats uploadable to products useful by clients using associated software. According to other aspects, the file detection process automates a historic process of opening files and looking at certain attributes of the file format to confirm that the file is a certain survey from a publisher and handled appropriately after the metadata information is detected from the raw file. File formats are detected using a combination of file attributes and pattern recognition; for example, filenames, the number of sheets in a workbook, and the number of words in workbook might be appropriate file attributes in a particular application.

Classes IPC  ?

  • G06Q 40/00 - FinanceAssuranceStratégies fiscalesTraitement des impôts sur les sociétés ou sur le revenu

9.

SYSTEM AND METHOD FOR AUTOMATED ACQUISITION AND INTEGRATION OF SURVEY DATA

      
Numéro d'application US2022026768
Numéro de publication 2022/232419
Statut Délivré - en vigueur
Date de dépôt 2022-04-28
Date de publication 2022-11-03
Propriétaire PAYSCALE (USA)
Inventeur(s)
  • Phillabaum, Adam
  • Kielpiski, Bryan
  • Cooper, Elizabeth
  • Johnson, Thomas

Abrégé

According to one aspect of the invention, a dynamic, computer enabled, transformative process includes a plurality of steps, wherein raw data is first detected, flattened, transformed, and mapped to a new set of headers and/or reordered as needed to facilitate a wide variety of survey export formats uploadable to products useful by clients using associated software. According to other aspects, the file detection process automates a historic process of opening files and looking at certain attributes of the file format to confirm that the file is a certain survey from a publisher and handled appropriately after the metadata information is detected from the raw file. File formats are detected using a combination of file attributes and pattern recognition; for example, filenames, the number of sheets in a workbook, and the number of words in workbook might be appropriate file attributes in a particular application.

Classes IPC  ?

  • G06F 16/25 - Systèmes d’intégration ou d’interfaçage impliquant les systèmes de gestion de bases de données