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:
Mar. 24, 2020

Filed:

Jun. 27, 2018
Applicant:

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

Inventors:

Gungor Polatkan, San Jose, CA (US);

Yulia Astakhova, Oakland, CA (US);

Deepak Kumar, Mountain View, CA (US);

Konstantin Salomatin, San Francisco, CA (US);

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

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

Shivani Rao, Mountain View, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 21/47 (2011.01); H04N 21/466 (2011.01); H04N 21/478 (2011.01); H04N 21/45 (2011.01); H04N 21/475 (2011.01); H04N 21/237 (2011.01); H04N 21/24 (2011.01); H04N 21/2743 (2011.01); H04N 21/25 (2011.01); H04N 21/258 (2011.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
H04N 21/4756 (2013.01); H04N 21/237 (2013.01); H04N 21/2407 (2013.01); H04N 21/252 (2013.01); H04N 21/25883 (2013.01); H04N 21/2743 (2013.01); H04N 21/4667 (2013.01); H04N 21/4668 (2013.01); H04N 21/478 (2013.01); G06Q 50/01 (2013.01);
Abstract

The recommendation system provided with an on-line connection system identifies on-line recommendations of videos and generates a user interface (UI) by including into the resulting presentation selected recommendations of videos. The recommendations of videos presented in the UI are organized into groups that are topically coherent, where each group is decorated with a context annotation—an explanation of why the recommendations in a given carousel are relevant for a member. Each video that is being evaluated by the recommendation system with respect to a subject member profile is assigned an annotation that is selected from a plurality of potentially applicable annotations. The technical problem of optimizing an order of presentation of recommendations grouped by context annotations, in a UI where annotations drive the layout, is addressed by deriving ranks for different context annotations based on global and personalized click through rates and using these values assigned to respective context annotations in constructing the UI.


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