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:
Aug. 01, 2017

Filed:

Dec. 10, 2012
Applicants:

Thu Kyaw, Reston, VA (US);

Sang Chul Song, Aldie, VA (US);

Sean Christopher Timm, Herndon, VA (US);

Sudhir Achuthan, Vienna, VA (US);

Mikhail Barrett, Fairfax, VA (US);

Vineet Mahajan, Ashburn, VA (US);

Inventors:

Thu Kyaw, Reston, VA (US);

Sang Chul Song, Aldie, VA (US);

Sean Christopher Timm, Herndon, VA (US);

Sudhir Achuthan, Vienna, VA (US);

Mikhail Barrett, Fairfax, VA (US);

Vineet Mahajan, Ashburn, VA (US);

Assignee:

AOL Inc., Dulles, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06F 17/30867 (2013.01); G06F 17/30345 (2013.01);
Abstract

Computer-implemented systems and methods are provided for presenting content recommendations. In one implementation, a method is provided for providing content recommendations to a plurality of users. The method may include generating a first plurality of content recommendations for a first user using a first plurality of methods, each of the first plurality of methods having a weight associated therewith. The method may further include selecting a second plurality of content recommendations from the first plurality of content recommendations based on the weights associated with the first plurality of methods. The method may further include providing the second plurality of content recommendations to the first user. The method may further include updating the weights associated with the first plurality of methods based on engagement by the first user with the second plurality of content recommendations.


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