The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 18, 2016

Filed:

Feb. 13, 2012
Applicants:

Sujoy Roy, Singapore, SG;

Wei Yun Yau, Singapore, SG;

Xianjun Wang, Singapore, SG;

Qing'an LI, Singapore, SG;

Sheau NG, Wayland, MA (US);

Inventors:

Sujoy Roy, Singapore, SG;

Wei Yun Yau, Singapore, SG;

Xianjun Wang, Singapore, SG;

Qing'An Li, Singapore, SG;

Sheau Ng, Wayland, MA (US);

Assignees:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04H 60/32 (2008.01); H04H 60/33 (2008.01); H04H 60/45 (2008.01); H04H 60/56 (2008.01); H04N 5/445 (2011.01); H04N 7/173 (2011.01); H04N 21/442 (2011.01); H04H 60/66 (2008.01); H04N 21/482 (2011.01); H04H 60/43 (2008.01); H04N 21/258 (2011.01); H04N 21/45 (2011.01);
U.S. Cl.
CPC ...
H04N 5/44543 (2013.01); H04H 60/32 (2013.01); H04H 60/33 (2013.01); H04H 60/43 (2013.01); H04H 60/45 (2013.01); H04H 60/66 (2013.01); H04N 7/17309 (2013.01); H04N 7/17318 (2013.01); H04N 21/25891 (2013.01); H04N 21/44222 (2013.01); H04N 21/4532 (2013.01); H04N 21/482 (2013.01);
Abstract

A method and system for modeling the interests of an individual television viewer based on logging the user's television usage activities for the purpose of determining personalized recommendations is presented. According to one aspect of the claimed subject matter, user input in response to a questionnaire, the user's recorded television usage, the user's previous interactions with the personalized recommendations and contextual data such as external events and social group influences are used to model the probability of a user's interest in available media content. Data from the model is subsequently arranged to display units of available media content with the highest probabilities of user interest to the user. According to further embodiments, specific user behavior in previously consumed media content such as a user's selection, a user's continuous consumption, and a user's discontinuation of consumption is tracked and used as input.


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