- 专利标题: Machine learning technique for recommendation of skills in a social networking service based on confidential data
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申请号: US15338657申请日: 2016-10-31
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公开(公告)号: US10535018B1公开(公告)日: 2020-01-14
- 发明人: Krishnaram Kenthapadi , Stuart MacDonald Ambler
- 申请人: Microsoft Technology Licensing, LLC
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人: Microsoft Technology Licensing, LLC
- 当前专利权人地址: US WA Redmond
- 代理机构: Schwegman Lundberg & Woessner, P.A.
- 主分类号: G06F17/30
- IPC分类号: G06F17/30 ; G06F7/00 ; G06N20/00 ; G06F21/62 ; G06F21/60 ; G06Q50/00
摘要:
In an example embodiment, each of a plurality of members of a social networking service is mapped to a weighted skill vector, each weighted skill vector including a list of skills for the member with an associated weight indicating a strength of the skill. Members of the social networking service who belong to an industry are aggregated to obtain a weighted matrix of members and skills along with compensation vectors indicating compensation for each of the members in the matrix. The weighted matrix of members and skills and corresponding compensation vectors are used to train a machine learning skill monetary value prediction model to output a predicted monetary value for a skill contained in a candidate vector fed to the machine learning skill monetary value prediction model. A recommendation is provided to a member of one or more skills to add based on output of the model.
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