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:
May. 10, 2016

Filed:

Sep. 09, 2013
Applicant:

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

Inventors:

Jonathan Edward Suchland, Seattle, WA (US);

Ario Jafarzadeh, Seattle, WA (US);

Mihir Kumar Choudhary, San Jose, CA (US);

Scott Michael Denman, Kirkland, WA (US);

Joshua Jacob Slimp, Edmonds, WA (US);

Daniel Hafner Cavalcanti, Bellevue, WA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 15/16 (2006.01); H04L 29/08 (2006.01); G06Q 50/00 (2012.01); G06Q 10/10 (2012.01); G06Q 30/06 (2012.01);
U.S. Cl.
CPC ...
H04L 67/22 (2013.01); G06Q 10/10 (2013.01); G06Q 30/0631 (2013.01); G06Q 50/01 (2013.01);
Abstract

Processes are disclosed for generating share recommendations for sharing content based at least in part on associated metadata of the content (e.g., geo-location of the content, the date/time of the content, subject matter of the content, etc.). A quick share system may track an individual's share history, including people with whom the individual has shared content, the date/time the content was shared, the geo-location of the individual when the content was shared, etc. Share recommendations indicating one or more suggested people with whom the individual may wish to share content may be generated for the individual, based at least in part on some of a current time/date, the individual's current location, the content metadata, the individual's share history. Share recommendations may also be based in part on an event associated with the content, user feedback data for shared content, and content analysis such as image analysis for digital images.


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