Invention Grant
- Patent Title: Skill-based title prediction model
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Application No.: US15360576Application Date: 2016-11-23
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Publication No.: US10586157B2Publication Date: 2020-03-10
- Inventor: Uri Merhav , How Jing , Jaewon Yang , Dan Shacham
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06N20/00 ; G06Q50/00 ; G06F16/22

Abstract:
In an example embodiment, for each of a plurality of different titles in a social network structure, the title is mapped into a first vector having n coordinates, while kills are mapped into a second vector having n coordinates. The first and second vectors are stored in a deep representation data structure. One or more objective functions are applied to at least one combination of two or more of the vectors in the deep representation data structure. Then, an optimization test on each of the at least one combination is performed using a corresponding objective function output for each of the at least one combination of two or more of the vectors, and, for any combination that did not pass the optimization test, one or more coordinates for the vectors in the combination are altered so that the vectors in the combination become closer together within an n-dimensional space.
Public/Granted literature
- US20180144253A1 SKILL-BASED TITLE PREDICTION MODEL Public/Granted day:2018-05-24
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