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. 13, 2019

Filed:

May. 08, 2013
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Mohammad Shafkat Amin, Cupertino, CA (US);

Baoshi Yan, Mountain View, CA (US);

Sripad Sriram, San Francisco, CA (US);

Anmol Bhasin, Mountain View, CA (US);

Christian Posse, Forster City, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/02 (2012.01); G06Q 30/06 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06Q 30/0251 (2013.01); G06Q 30/0253 (2013.01); G06Q 30/0254 (2013.01); G06Q 30/0269 (2013.01); G06Q 30/0631 (2013.01); G06Q 50/01 (2013.01);
Abstract

Techniques for leveraging a social graph to facilitate the delivery of relevant recommendations. For example, a recommender is identified based on the recommender being a member of a social networking service who has interacted with an item of web-based content. A recommendee is identified based on the recommendee being another member of the social networking service who is connected to the recommender via a social graph maintained by the social networking service and based on having an affinity score for the item that exceeds a recommendee affinity score threshold and a connection strength to the recommender that exceeds a connection strength threshold. The recommender is sent a communication that invites the recommender to recommend the item to the recommendee. With some example embodiments, the communication is sent to the recommender within a pre-determined time measured from the time the recommender initiated an interaction with the item of web-based content.


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