Method and apparatus for generating recommendation scores using implicit and explicit viewing preferences

Patent №

US 8,843,965

Granted

2014-09-23

Filed 2000

Owner

PHILIPS ELECTRONICS NORTH AMERICA CORP.

+1 more

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09666401

A television programming recommender combines the explicit viewing preferences, i.e. user specified preferences, of viewers with their television viewing behavior (implicit preferences) to generate program recommendations. The explicit viewing preferences are utilized to generate an explicit recommendation score, E, for an upcoming television program. The implicit viewing preferences are utilized to generate an implicit recommendation score, I, for the program. A combined recommendation score, C, is computed based on the explicit and implicit scores, E and I. The combined recommendation score, C, can be computed using a weighted linear mapping.

Machine learningPlanningH04N 21/466H04N 7/16H04N 21/25H04N 21/251H04N 21/45H04N 21/4532H04N 21/4667H04N 21/4668+5 more

AI classification

Machine learning1.00
Planning0.86
Knowledge representation0.09
Evolutionary computation0.08
Vision0.02
AI hardware0.01
Speech0.00
Natural language0.00

Ownership

PHILIPS ELECTRONICS NORTH AMERICA CORP.

assignment · 111520696

KONINKLIJKE PHILIPS N.V.

assignment · 335260700

Assignors

KURAPATI, KAUSHAL, SCHAFFER, J. DAVID, GUTTA, SRINIVAS

On an employer assignment, the assignors are typically the inventors.

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