Invention Grant
- Patent Title: Generalized linear mixed models for improving search
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Application No.: US15826279Application Date: 2017-11-29
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Publication No.: US10769136B2Publication Date: 2020-09-08
- Inventor: Cagri Ozcaglar , Xianren Wu , Jaewon Yang , Abhishek Gupta , Anish Ramdas Nair
- 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: G06F16/242
- IPC: G06F16/242 ; G06F16/25 ; G06F16/248 ; G06F16/9535 ; G06Q50/00 ; G06Q10/10 ; G06F16/9536

Abstract:
Techniques for improving search using generalized linear mixed models are disclosed herein. In some embodiments, a computer-implemented method comprises: receiving a search query comprising at least one search term and being associated with a user; extracting features from corresponding profiles of a plurality of candidates; for each one of the candidates, generating a corresponding score based on a generalized linear mixed model comprising a generalized linear query-based model and a random effects user-based model; selecting a subset of candidates from the plurality of candidates based on the corresponding scores; and causing the selected subset of candidates to be displayed to the user in a search results page for the search query.
Public/Granted literature
- US20190163780A1 GENERALIZED LINEAR MIXED MODELS FOR IMPROVING SEARCH Public/Granted day:2019-05-30
Information query