Invention Grant
- Patent Title: Generation of training data for ideal candidate search ranking model
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Application No.: US15169346Application Date: 2016-05-31
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Publication No.: US10606847B2Publication Date: 2020-03-31
- Inventor: Yan Yan , Viet Thuc Ha , Xianren Wu , Satya Pradeep Kanduri , Vijay Dialani , Ye Xu , Abhishek Gupta , Shakti Dhirendraji Sinha
- 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: G06F16/2457
- IPC: G06F16/2457 ; G06Q50/00 ; G06N20/00 ; G06F16/9535 ; G06N3/08

Abstract:
In an example embodiment, one or more sample ideal candidate member profiles in a social networking service are obtained, as well as one or more sample search result member profiles in the social networking service. Then, for each unique pair of sample ideal candidate member profile and sample search result member profile, a label is generated using a score generated from log information of the social networking service, the log information including records of communications between a searcher and members of the social networking service, the score being higher if the searcher communicated with both the member corresponding sample ideal candidate member profile and the member corresponding to the sample search result member profile in a same search session. The generated labels are fed into a machine learning algorithm to train a combined ranking model used to output ranking scores for search result member profiles.
Public/Granted literature
- US20170344555A1 GENERATION OF TRAINING DATA FOR IDEAL CANDIDATE SEARCH RANKING MODEL Public/Granted day:2017-11-30
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