- Patent Title: Candidate selection using personalized relevance modeling system
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Application No.: US16456838Application Date: 2019-06-28
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Publication No.: US11436542B2Publication Date: 2022-09-06
- Inventor: Xiao Yan , Mikhail Obukhov , Jaewon Yang , Qi He
- 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: G06Q10/10
- IPC: G06Q10/10 ; G06Q10/06 ; G06Q30/08 ; G06N20/00 ; G06F16/9535 ; G06N3/08

Abstract:
Techniques for selecting candidates using a personalized model are disclosed herein. In some embodiments, a computer system, for each candidate of a plurality of candidates, generating a corresponding confidence score for a combination of the candidate, a particular viewer, and a particular attribute based on a scoring model, with the corresponding confidence score being configured to indicate a likelihood that the particular viewer will select the corresponding candidate as a preference with respect to the particular attribute. The computer system then selects a subset of the plurality of candidates based on the corresponding confidence scores of the candidates in the subset, and causes the subset of candidates to be displayed on a computing device of the viewer along with a prompting for the viewer to select one of the selected subset of candidates as the preference with respect to the particular attribute.
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