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:
Jul. 19, 2016

Filed:

Oct. 14, 2011
Applicants:

Jeremy Schiff, Portola Valley, CA (US);

Corey Reese, Portola Valley, CA (US);

Yige Wang, East Palo Alto, CA (US);

Scott Goodson, La Honda, CA (US);

Paul Kenneth Twohey, Palo Alto, CA (US);

Inventors:

Jeremy Schiff, Portola Valley, CA (US);

Corey Reese, Portola Valley, CA (US);

Yige Wang, East Palo Alto, CA (US);

Scott Goodson, La Honda, CA (US);

Paul Kenneth Twohey, Palo Alto, CA (US);

Assignee:

OpenTable, Inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/06 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0631 (2013.01); G06Q 30/0282 (2013.01); G06Q 30/06 (2013.01);
Abstract

Embodiments of the invention relate to a computer-implemented method and system for providing personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining a plurality of feedback data from a plurality of users, wherein the feedback data comprises an indication of a media object, a response obtained from target user related to the feedback data, and at least one demographic data element associated with the target user. A set of personalized recommendations for the target user are identified based at least on stored data about the target user and the feedback data related to the user. The personalized recommendations system identifies media objects to potentially provide to the target user, and selects or filters the identified media objects to form a set of personalized media objects associated with the set of personalized recommendations.


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