Invention Grant
- Patent Title: Deep learning based visual compatibility prediction for bundle recommendations
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Application No.: US18186528Application Date: 2023-03-20
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Publication No.: US12136118B2Publication Date: 2024-11-05
- Inventor: Kumar Ayush , Ayush Chopra , Patel U. Govind , Balaji Krishnamurthy , Anirudh Singhal
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Agency: Shook, Hardy & Bacon L.L.P.
- Main IPC: G06Q30/00
- IPC: G06Q30/00 ; G06F18/21 ; G06F18/214 ; G06N3/045 ; G06N3/088 ; G06Q30/0601 ; G06V10/44 ; G06V10/764 ; G06V10/82 ; G06V20/00

Abstract:
Systems, methods, and computer storage media are disclosed for predicting visual compatibility between a bundle of catalog items (e.g., a partial outfit) and a candidate catalog item to add to the bundle. Visual compatibility prediction may be jointly conditioned on item type, context, and style by determining a first compatibility score jointly conditioned on type (e.g., category) and context, determining a second compatibility score conditioned on outfit style, and combining the first and second compatibility scores into a unified visual compatibility score. A unified visual compatibility score may be determined for each of a plurality of candidate items, and the candidate item with the highest unified visual compatibility score may be selected to add to the bundle (e.g., fill the in blank for the partial outfit).
Public/Granted literature
- US20230316379A1 DEEP LEARNING BASED VISUAL COMPATIBILITY PREDICTION FOR BUNDLE RECOMMENDATIONS Public/Granted day:2023-10-05
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