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. 29, 2018

Filed:

Mar. 14, 2013
Applicant:

Facebook, Inc., Menlo Park, CA (US);

Inventors:

Timothy A. Kendall, Palo Alto, CA (US);

Matthew R. Cohler, Portolla Valley, CA (US);

Mark E. Zuckerberg, Menlo Park, CA (US);

Yun-Fang Juan, San Jose, CA (US);

Robert Kang-Xing Jin, Palo Alto, CA (US);

Justin M. Rosenstein, Palo Alto, CA (US);

Andrew G. Bosworth, Palo Alto, CA (US);

Yishan Wong, Mountain View, CA (US);

Adam D'Angelo, Mt View, CA (US);

Chamath M. Palihapitiya, San Francisco, CA (US);

Assignee:

Facebook, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/02 (2012.01); H04L 12/18 (2006.01); H04W 4/20 (2018.01); H04W 4/02 (2018.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0269 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0215 (2013.01); G06Q 30/0254 (2013.01); G06Q 30/0255 (2013.01); G06Q 30/0275 (2013.01); H04L 12/1859 (2013.01); H04W 4/20 (2013.01); H04L 67/18 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01); H04W 4/02 (2013.01);
Abstract

A social networking website logs information about actions taken by members of the website. For a particular member of the website, the website generates socially relevant ads for the member based on the actions logged for other members on the website to whom the member is connected (i.e., the member's online friends). The advertiser associated with the social ad may compensate the social networking website for publishing the ad on the website. When presenting a member with a social ad, the website may optimize advertising revenue by selecting an ad from the received ads that will maximize the expected value of the social ad. The expected value may be computed according to a function that includes the member's affinity for the ad content and the bid amount. The technique is also applied for providing socially relevant information off the social networking website.


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