Invention Grant
- Patent Title: Systems and methods for retraining of machine learned systems
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Application No.: US17163497Application Date: 2021-01-31
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Publication No.: US11715151B2Publication Date: 2023-08-01
- Inventor: Binwei Yang , Alessandro Magnani
- 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: G06Q30/06
- IPC: G06Q30/06 ; G06Q30/0601 ; G06N20/00

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: training a visual similarity model; determining one or more nearest neighbors for an item using the visual similarity model, as trained; ranking the one or more nearest neighbors using results of the visual similarity model, as trained; re-ranking the one or more nearest neighbors using a learning-to-rank algorithm; and facilitating altering a graphical user interface (GUI) displaying the item based upon the one or more nearest neighbors, as re-ranked. Other embodiments are disclosed herein.
Public/Granted literature
- US20210241363A1 SYSTEMS AND METHODS FOR RETRAINING OF MACHINE LEARNED SYSTEMS Public/Granted day:2021-08-05
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