Invention Application
- Patent Title: GENERATING CONTEXTUAL TAGS FOR DIGITAL CONTENT
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Application No.: US16525366Application Date: 2019-07-29
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Publication No.: US20210034657A1Publication Date: 2021-02-04
- Inventor: Ajinkya Kale , Baldo Faieta , Benjamin Leviant , Fengbin Chen , Francois Guerin , Kate Sousa , Trung Bui , Venkat Barakam , Zhe Lin
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06F16/48
- IPC: G06F16/48 ; G06K9/62 ; G06F16/43 ; G06F16/2457

Abstract:
Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.
Public/Granted literature
- US11232147B2 Generating contextual tags for digital content Public/Granted day:2022-01-25
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