Invention Grant
- Patent Title: Deep learning based visual compatibility prediction for bundle recommendations
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Application No.: US16865572Application Date: 2020-05-04
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Publication No.: US11640634B2Publication Date: 2023-05-02
- Inventor: Kumar Ayush , Ayush Chopra , Patel Utkarsh 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: G06N3/00
- IPC: G06N3/00 ; G06N3/088 ; G06N3/04 ; G06K9/62 ; G06Q30/0601

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
- US20210342701A1 DEEP LEARNING BASED VISUAL COMPATIBILITY PREDICTION FOR BUNDLE RECOMMENDATIONS Public/Granted day:2021-11-04
Information query
IPC分类:
G | 物理 |
G06 | 计算;推算或计数 |
G06N | 基于特定计算模型的计算机系统 |
G06N3/00 | 基于生物学模型的计算机系统 |