Invention Grant
- Patent Title: Implicitly associating metadata using user behavior
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Application No.: US17036933Application Date: 2020-09-29
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Publication No.: US11625753B2Publication Date: 2023-04-11
- Inventor: David Gourley , Brian Totty , Ed Haslam , Paul Gauthier , Gary Lerhaupt , Mike Y. Chen , Christopher Colby
- Applicant: GROUPON, INC.
- Applicant Address: US IL Chicago
- Assignee: GROUPON, INC.
- Current Assignee: GROUPON, INC.
- Current Assignee Address: US IL Chicago
- Agency: Alston & Bird LLP
- Main IPC: G06F16/20
- IPC: G06F16/20 ; G06Q30/0251 ; G06Q30/0207 ; G06Q30/0201 ; G06Q50/00 ; G06F16/35

Abstract:
Social media networking applications, web sites, and services creates implicit relationships between users based on their interest or participation in real-world and optionally virtual or online activities in addition to explicitly defined peer relationships. User profiles, activity entities, and expressions may be associated with metadata to assist in searching and navigation. Metadata is implicitly associated with user profiles, activity entities, expressions, or other data entities based on user behavior using metadata collector. A metadata collector is a poll, survey, list, questionnaire, census, test, game, or other type of presentation adapted to solicit user interaction. A metadata collector is associated with metadata elements. When users interact with a metadata collector, their user profiles and the data entities included in their interactions become associated with the metadata elements of the metadata collector. These metadata element associations may then be used for any purpose.
Public/Granted literature
- US20210081989A1 Implicitly Associating Metadata Using User Behavior Public/Granted day:2021-03-18
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