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:
Apr. 18, 2017

Filed:

Jun. 30, 2015
Applicant:

Linkedin Corporation, Mountain View, CA (US);

Inventors:

Lijun Tang, Mountain View, CA (US);

Eric Huang, San Francisco, CA (US);

Xu Miao, Sunnyvale, CA (US);

Yitong Zhou, Sunnyvale, CA (US);

David Hardtke, Oakland, CA (US);

Joel Daniel Young, Milpitas, CA (US);

Assignee:

LinkedIn Corporation, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06Q 10/10 (2012.01); G06F 17/30 (2006.01); G06N 99/00 (2010.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/1053 (2013.01); G06F 17/3053 (2013.01); G06F 17/30867 (2013.01); G06N 99/005 (2013.01); G06Q 50/01 (2013.01);
Abstract

Learning to rank modeling in the context of an on-line social network is described. A learning to rank model can learn from pairwise preference (e.g., job posting A is more relevant than job posting B for a particular member profile) thus directly optimizing for the rank order of job postings for each member profile. With ranking position taken into consideration during training, top-ranked job postings may be treated by a recommendation system as being of more importance than lower-ranked job postings. In addition, a learning to rank approach may also result in an equal optimization across all member profiles and help minimize bias towards those member profiles that have been paired with a larger number of job postings.


Find Patent Forward Citations

Loading…