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:
Feb. 19, 2019

Filed:

Nov. 24, 2014
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Juan Carlos Niebles Duque, Barranquilla, CO;

Hrishikesh Aradhye, Santa Clara, CA (US);

Luciano Sbaiz, Zurich, CH;

Jay Yagnik, Mountain View, CA (US);

Reto Strobl, Walenstadt, CH;

Assignee:

Google LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/18 (2006.01); G06N 99/00 (2010.01); G06F 17/30 (2006.01); G06K 9/00 (2006.01); H04N 21/234 (2011.01); H04N 21/258 (2011.01); H04L 29/06 (2006.01); H04N 21/25 (2011.01);
U.S. Cl.
CPC ...
G06N 99/005 (2013.01); G06F 17/30781 (2013.01); G06K 9/00744 (2013.01); H04L 65/4084 (2013.01); H04N 21/23418 (2013.01); H04N 21/252 (2013.01); H04N 21/25883 (2013.01); H04N 21/25891 (2013.01);
Abstract

A demographics analysis trains classifier models for predicting demographic attribute values of videos and users not already having known demographics. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of videos using video features such as demographics of video uploaders, textual metadata, and/or audiovisual content of videos. In one embodiment, the demographics analysis system trains classifier models for predicting demographics of users (e.g., anonymous users) using user features based on prior video viewing periods of users. For example, viewing-period based user features can include individual viewing period statistics such as total videos viewed. Further, the viewing-period based features can include distributions of values over the viewing period, such as distributions in demographic attribute values of video uploaders, and/or distributions of viewings over hours of the day, days of the week, and the like.


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