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. 05, 2021

Filed:

Jun. 27, 2018
Applicant:

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

Inventors:

Konstantin Salomatin, San Francisco, CA (US);

Fares Hedayati, Richmond, CA (US);

Jeffrey Douglas Gee, San Francisco, CA (US);

Mahesh S. Joshi, Belmont, CA (US);

Shivani Rao, Mountain View, CA (US);

Gungor Polatkan, San Jose, CA (US);

Deepak Kumar, Mountain View, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/475 (2011.01); G06K 9/62 (2006.01); H04N 21/482 (2011.01); H04N 21/466 (2011.01); H04N 21/254 (2011.01); H04N 21/25 (2011.01); H04N 21/47 (2011.01); H04N 21/2543 (2011.01); H04N 21/258 (2011.01);
U.S. Cl.
CPC ...
H04N 21/4755 (2013.01); G06K 9/6223 (2013.01); H04N 21/25 (2013.01); H04N 21/251 (2013.01); H04N 21/252 (2013.01); H04N 21/254 (2013.01); H04N 21/25435 (2013.01); H04N 21/25883 (2013.01); H04N 21/25891 (2013.01); H04N 21/4668 (2013.01); H04N 21/47 (2013.01); H04N 21/4826 (2013.01);
Abstract

The video recommendation system provided with an on-line connection system generates on-line video recommendations using collaborative filtering for clusters of member profiles. The recommendation system clusters member profiles using member profile information as clustering criteria. The video recommendations are then generated for a given cluster, based on aggregation of video viewing history recorded for the member profiles that are in the given cluster, using the video similarity matrix. In order to produce video recommendations for a particular member profile, the recommendation system first determines cluster membership for the member profile, retrieves recommendations generated for that cluster, and provides recommendations to the associated member. A user interface including references to one or more recommended videos is rendered on a display device of a viewer.


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