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:
Jan. 02, 2018

Filed:

Jan. 16, 2015
Applicant:

Google Inc., Mountain View, CA (US);

Inventors:

Xiaohong Gong, Sunnyvale, CA (US);

Wei Zhang, Fremont, CA (US);

Nima Asgharbeygi, Mountain View, CA (US);

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/30 (2006.01); H04L 29/08 (2006.01); G06Q 30/06 (2012.01); H04N 21/466 (2011.01);
U.S. Cl.
CPC ...
G06F 17/30345 (2013.01); G06F 17/30386 (2013.01); G06F 17/30867 (2013.01); G06Q 30/0631 (2013.01); H04L 67/30 (2013.01); H04L 67/306 (2013.01); H04N 21/4668 (2013.01);
Abstract

System and methods of this disclosure are directed to recommending content in real-time or near real-time. The system comprises a number of pipelines updated a different frequencies that process temporally different sets of web property visit data. Within each pipeline, the system can employ different number of algorithms to process visit data to generate content recommendations. One algorithm is a content filter that filters from the visit data those determined to be unsuitable as recommendations. Another is a content analyzer that analyzes the content of each URL in the visit data by topic category and attribute. Another is an item-to-item collaborative filter that determines a correlation score for each URL based on those in the visit data in a single session Another is a device-to-item matrix factorization that determines an affinity score for each URL based on visit data, context information, and topic category.


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