Recommendation from stochastic analysis
First Claim
1. A method, comprising:
- receiving a request for a recommended movie;
providing a plurality of movie selection choices where each choice includes two movies having disparate identifying criteria;
receiving viewer selections of one movie from each of the movie selection choices; and
generating a movie recommendation by applying stochastic analysis on the identifying criteria associated with the viewer selected movies from each of the movie selection choices.
2 Assignments
0 Petitions
Accused Products
Abstract
Recommendations from stochastic analysis is described. In embodiment(s), a media content distributor can receive a request for movie recommendations from a viewer via a television client device. The content distributor can then provide various movie selection choices where each choice includes two movies having disparate identifying criteria. The identifying criteria can include any combination of a category of a movie, an attribute of the movie, or an aspect of the movie. The content distributor can receive viewer selections of one movie from each of the movie selection choices and then generate the movie recommendations for the viewer. The movie recommendation can be generated by stochastic analysis of the identifying criteria associated with the viewer selected movies from each of the movie selection choices.
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Citations
20 Claims
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1. A method, comprising:
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receiving a request for a recommended movie; providing a plurality of movie selection choices where each choice includes two movies having disparate identifying criteria; receiving viewer selections of one movie from each of the movie selection choices; and generating a movie recommendation by applying stochastic analysis on the identifying criteria associated with the viewer selected movies from each of the movie selection choices. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A media content distributor, comprising:
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a recommendation system configured to; receive a request for recommended media content from a television client device; provide a plurality of content selection choices to a viewer via the television client device, where each content selection choice includes media content having disparate identifying criteria; receive selections of media content from each of the content selection choices; and an analytics module configured to generate the recommended media content by stochastic analysis of the identifying criteria associated with the selections of media content. - View Dependent Claims (10, 11, 12, 13, 14, 15, 16)
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17. One or more computer-readable media comprising computer-executable instructions that, when executed, direct a media content distributor to:
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compile descriptions of identifying criteria associated with movies; generate qualitative metadata of the movies from the compiled descriptions; receive viewer selections of one movie from each of a plurality of movie selection choices where each choice includes two of the movies having disparate qualitative metadata; and apply stochastic analysis on the qualitative metadata associated with the viewer selected movies from each of the movie selection choices to generate a movie recommendation. - View Dependent Claims (18, 19, 20)
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Specification