Invention Grant
- Patent Title: Deriving semantic relationships based on empirical organization of content by users
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Application No.: US16527707Application Date: 2019-07-31
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Publication No.: US11861507B2Publication Date: 2024-01-02
- Inventor: Alain J. Cohen , Marc A. Cohen , Ryan McKeown , Stefan Znam , Alberto Morales
- Applicant: Bublup, Inc.
- Applicant Address: US VA Arlington
- Assignee: Bublup, Inc.
- Current Assignee: Bublup, Inc.
- Current Assignee Address: US VA Arlington
- Agency: Danielson Legal LLC
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06F16/951 ; G06N5/048 ; G06N5/04

Abstract:
A computer-implemented content suggestion engine provides content suggestions to a requesting user based on information about content items that other users may have independently categorized or organized into folders within a content repository. Embodiments of the method comprise a content repository having a plurality of content items, where each content item is associated with one or more user-created folders. Embodiments further comprise receiving, via a network, a suggestion request for suggested content, where the suggestion request identifies a first content item for which suggestions are sought. Other content items in the content repository are then identified as potential suggestions based on the application of a formal relationship between the first content item and the potential suggested content items. One or more of the potential suggested content items may then be provided in response to the suggestion request via the network.
Public/Granted literature
- US20190354876A1 Deriving Semantic Relationships Based on Empirical Organization of Content by Users Public/Granted day:2019-11-21
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