Invention Grant
- Patent Title: Web-scale personalized visual search recommendation service
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Application No.: US17710761Application Date: 2022-03-31
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Publication No.: US11947589B2Publication Date: 2024-04-02
- Inventor: Li Huang , Rui Xia , Zhiting Chen , Kun Wu , Meenaz Merchant , Kamal Ginotra , Arun K. Sacheti , Chu Wang , Andrew Lawrence Stewart , Hanmu Zuo , Saurajit Mukherjee
- 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
- Main IPC: G06F16/50
- IPC: G06F16/50 ; G06F16/532 ; G06F16/535 ; G06F16/56

Abstract:
Systems and methods directed to returning personalized image-based search results are described. In examples, a query including an image may be received, and a personalized item embedding may be generated based on the image and user profile information associated with a user. Further, a plurality of candidate images may be obtained based on the personalized item embedding. The candidate images may then be ranked according to a predicted level of user engagement for a user, and then diversified to ensure visual diversity among the ranked images. A portion of the diversified images may then be returned in response to an image-based search.
Public/Granted literature
- US20230315781A1 WEB-SCALE PERSONALIZED VISUAL SEARCH RECOMMENDATION SERVICE Public/Granted day:2023-10-05
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