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:
Dec. 22, 2020

Filed:

Jan. 07, 2019
Applicant:

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

Inventors:

Manish Gupta, Bangalore, IN;

Lampros Kalampoukas, Brick, NJ (US);

Zhengziang Pan, Edison, NJ (US);

Naren Sirugudi, Bangalore, IN;

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04N 7/16 (2011.01); H04N 21/466 (2011.01); H04N 21/45 (2011.01); G06F 16/78 (2019.01); G06F 16/28 (2019.01); H04N 21/84 (2011.01);
U.S. Cl.
CPC ...
H04N 21/4668 (2013.01); G06F 16/285 (2019.01); G06F 16/7867 (2019.01); H04N 21/4524 (2013.01); H04N 21/4532 (2013.01); H04N 21/84 (2013.01);
Abstract

A content recommendation system that recommends content based on previous user content information and information regarding the user and user device. The system is capable of accurately recommending content using collaborative filtering by comparing the user's profile to other user profiles. User profiles rely on implicit ratings to determine user preferences. Implicit ratings may be determined by collecting the content that a user consumed, in addition to user and user device information. The system recommends content that similar users have consumed. The system is also able to identify and recommend trending content by analyzing changes in metrics over time. The system may also rely on automatic content recognition to identify content that the user is consuming without requiring active user input.


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