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:
Jan. 30, 2018

Filed:

Sep. 24, 2015
Applicant:

Amazon Technologies, Inc., Reno, NV (US);

Inventors:

Oleg Rybakov, Seattle, WA (US);

Matias Omar Gregorio Benitez, Seattle, WA (US);

Leo Parker Dirac, Seattle, WA (US);

Rejith George Joseph, Seattle, WA (US);

Vijai Mohan, Seattle, WA (US);

Srikanth Thirumalai, Bellevue, WA (US);

Assignee:

Amazon Technologies, Inc., Reno, NV (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/46 (2006.01); G06T 7/00 (2017.01); G06T 1/00 (2006.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/46 (2013.01); G06K 9/00201 (2013.01); G06T 1/0007 (2013.01); G06T 7/0081 (2013.01); G06T 2207/10004 (2013.01);
Abstract

Recommendations can be generated even in situations where sufficient user information is unavailable for providing personalized recommendations. Instead of generating recommendations for an item based on item type or category, a relation graph can be consulted that enables other items to be recommended that are related to the item in some way, which may be independent of the type or category of item. For example, images of models, celebrities, or everyday people wearing items of clothing, jewelry, handbags, shoes, and other such items can be received and analyzed to recognize those items and cause them to be linked in the relation graph. When generating recommendations or selecting advertisements, the relation graph can be consulted to recommend products that other people have obtained with the item from any of a number of sources, such that the recommendations may be more valuable to the user.


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