Invention Grant
- Patent Title: Techniques for querying user profiles using neural networks
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Application No.: US16021667Application Date: 2018-06-28
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Publication No.: US10795897B2Publication Date: 2020-10-06
- Inventor: Rohan Ramanath , Gungor Polatkan , Qi Guo , Cagri Ozcaglar , Krishnaram Kenthapadi , Sahin Cem Geyik
- 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: G06F16/00
- IPC: G06F16/00 ; G06F16/2457 ; G06N3/02 ; G06F16/248 ; G06F16/22 ; G06F16/9535

Abstract:
Techniques for processing search queries are described. Consistent with some embodiments, a computer system generates a profile vector representation for each of several user profiles based on the user profile data of the user profiles, and then stores the vector representations. A subsequent query is processed to generate a query vector representation for the query. A neural network is used to generate a similarity score for each pairing of the query vector representation and a profile vector representation. Finally, some number of user profiles having the highest similarity scores are provided as search results.
Public/Granted literature
- US20200004835A1 GENERATING CANDIDATES FOR SEARCH USING SCORING/RETRIEVAL ARCHITECTURE Public/Granted day:2020-01-02
Information query