Invention Grant
- Patent Title: Determining recommended media programming from sparse consumption data
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Application No.: US15289626Application Date: 2016-10-10
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Publication No.: US10223359B2Publication Date: 2019-03-05
- Inventor: Raymond Hsu , Ashok Sahu
- Applicant: The DIRECTV Group, Inc.
- Applicant Address: US CA El Segundo
- Assignee: THE DIRECTV GROUP, INC.
- Current Assignee: THE DIRECTV GROUP, INC.
- Current Assignee Address: US CA El Segundo
- Main IPC: G06F17/30
- IPC: G06F17/30 ; G06F17/16

Abstract:
A processor may create a preference vector by generating preference vector entries in fields that correspond to content attributes associated with at least one media program presented via a media device, each entry including a playback duration and a year. The processor may create a media entity matrix of entity vectors for entities associated with production of media programs. For each entity vector, the processor may generate matrix entries in fields that correspond to content attributes associated with at least one media program associated with the entity, each matrix entry including a year and a score, the score weighted by an epoch factor based upon a time span associated with the at least one media program presented via the media device. The processor may determine entity rankings based upon dot products between the preference vector and the entity vectors and provide a recommendation based upon the rankings.
Public/Granted literature
- US20180101531A1 DETERMINING RECOMMENDED MEDIA PROGRAMMING FROM SPARSE CONSUMPTION DATA Public/Granted day:2018-04-12
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