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.
Patent No.:
Date of Patent:
Apr. 26, 2016
Filed:
Nov. 09, 2010
Peter Richard Bailey, Kirkland, WA (US);
Chad Carson, Cupertino, CA (US);
Scott Joseph Counts, Seattle, WA (US);
Nikhil Bharat Dandekar, Bellevue, WA (US);
Ho John Lee, Palo Alto, CA (US);
Shubha Umesh Nabar, Mountain View, CA (US);
Aditya Pal, Minneapolis, MN (US);
Michael Ching, San Jose, CA (US);
Paul Alexander Dow, San Francisco, CA (US);
Shuang Guo, San Jose, CA (US);
Hyun-ju Seo, Mountain View, CA (US);
Peter Richard Bailey, Kirkland, WA (US);
Chad Carson, Cupertino, CA (US);
Scott Joseph Counts, Seattle, WA (US);
Nikhil Bharat Dandekar, Bellevue, WA (US);
Ho John Lee, Palo Alto, CA (US);
Shubha Umesh Nabar, Mountain View, CA (US);
Aditya Pal, Minneapolis, MN (US);
Michael Ching, San Jose, CA (US);
Paul Alexander Dow, San Francisco, CA (US);
Shuang Guo, San Jose, CA (US);
Hyun-Ju Seo, Mountain View, CA (US);
Microsoft Technology Licensing, LLC, Redmond, WA (US);
Abstract
The author ranking technique described herein is a technique to rank authors in social media systems along various dimensions, using a variety of statistical methods for utilizing those dimensions. More particularly, the technique ranks authors in social media systems through a combination of statistical techniques that leverage usage metrics, and social and topical graph characteristics. In various exemplary embodiments, the technique can rank author authority by the following: 1) temporal analysis of link sharing in which authority is computed based on a user's propensity to provide early links to web pages that subsequently become popular; 2) topical authority based on the author's links and content updates in specific topic areas; and 3) popularity and influence based on nodal properties of authors.