Invention Grant
- Patent Title: Multi-content recommendation system combining user model, item model and real time signals
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Application No.: US15994530Application Date: 2018-05-31
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Publication No.: US11954161B2Publication Date: 2024-04-09
- Inventor: Danilo L. Benzatti , Rajasi Saha , Christopher J. Mallery , Michael Y. Moon , Saliha Azzam , Xiaoguang Qi , Harish Jayanti , Jayaram N. M. Nanduri , Chad A. Zanonie
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Weaver IP L.L.C.
- Main IPC: G06F16/00
- IPC: G06F16/00 ; G06F16/438 ; G06F16/9535 ; H04N21/466 ; H04N21/482 ; G06F16/435

Abstract:
Methods, systems, apparatuses, and computer program products are described for providing content recommendations to a requestor. In implementations, user event records associated with media items and content types may be stored, for instance, in an event catalog. A set of user scores may be generated based on a user-content score model and the user event records, where each generated user score represents an affinity between a user and a corresponding content type of the plurality of content types. A set of title scores may also be generated for a media item based on a title-content score model, where each generated title score represents an affinity between the media item and a corresponding content type. In response to a request, the sets of scores may be combined to generate a set of content recommendations to provide to the requestor.
Information query