Invention Grant
- Patent Title: Systems and methods for generation and traversal of a skill representation graph using machine learning
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Application No.: US17460548Application Date: 2021-08-30
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Publication No.: US12265939B2Publication Date: 2025-04-01
- Inventor: Christoph Riedl
- Applicant: Skillscape Analytics LLC
- Applicant Address: US MA Boston
- Assignee: Skillscape Analytics LLC
- Current Assignee: Skillscape Analytics LLC
- Current Assignee Address: US MA Boston
- Agency: Caldwell Intellectual Property Law
- Main IPC: G06Q10/0639
- IPC: G06Q10/0639 ; A63B24/00 ; G09B19/00

Abstract:
Systems and methods for generation and traversal of a skill representation graph using machine learning is provided. The system includes a computing device configured to receive a plurality of data of a plurality of individuals including individual skill levels corresponding to a common skill of a plurality of common skills. The computing device determines a relative skill level of the plurality of individuals from the plurality of data and generate a skill representation graph representing a plurality of skill interrelations. Generating the graph further includes generating a plurality of nodes representing a skill, generating a plurality of interconnections representing a process and/or path to master a subsequent skill of a first skill, generating the plurality of interrelations as a function of at least the plurality of data and a machine-learning model, and assembling the graph. The system finally includes a user device configured to display the skill representation graph.
Public/Granted literature
- US20220374812A1 SYSTEMS AND METHODS FOR GENERATION AND TRAVERSAL OF A SKILL REPRESENTATION GRAPH USING MACHINE LEARNING Public/Granted day:2022-11-24
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