Invention Grant
- Patent Title: Systems and methods for personalizing search engine recall and ranking using machine learning techniques
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Application No.: US17163400Application Date: 2021-01-30
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Publication No.: US11704374B2Publication Date: 2023-07-18
- Inventor: Hyun Duk Cho , Sushant Kumar , Kannan Achan , Nimesh Sinha , Aysenur Inan
- Applicant: Walmart Apollo, LLC
- Applicant Address: US AR Bentonville
- Assignee: WALMART APOLLO, LLC
- Current Assignee: WALMART APOLLO, LLC
- Current Assignee Address: US AR Bentonville
- Agency: Bryan Cave Leighton Paisner LLP
- Main IPC: G06F16/9535
- IPC: G06F16/9535 ; G06F16/9532 ; G06Q30/0601 ; G06Q30/0201 ; G06N20/00 ; G06Q10/067

Abstract:
Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of: providing a search engine that includes, or communicates with, a recall personalization model configured to generate personalized recall sets of search results for users; receiving, at the search engine, a search query submitted by a user; generating, using the recall personalization module, a feature vector for the user that includes contextual features associated with the user; generating, using the recall personalization model, a simulated narrowing query that includes the search query submitted by the user and the feature vector; generating, using the search engine, a recall set of search results based, at least in part, on the simulated narrowing query. Other embodiments are disclosed herein.
Public/Granted literature
- US20220245209A1 SYSTEMS AND METHODS FOR PERSONALIZING SEARCH ENGINE RECALL AND RANKING USING MACHINE LEARNING TECHNIQUES Public/Granted day:2022-08-04
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