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. 30, 2021

Filed:

Dec. 28, 2018
Applicant:

Ebay Inc., San Jose, CA (US);

Inventors:

Robinson Piramuthu, Oakland, CA (US);

Timothy Samuel Keefer, San Jose, CA (US);

Ashmeet Singh Rekhi, Campbell, CA (US);

Padmapriya Gudipati, San Jose, CA (US);

Mohammadhadi Kiapour, San Francisco, CA (US);

Shuai Zheng, Berkeley, CA (US);

Md Atiq ul Islam, San Jose, CA (US);

Nicholas Anthony Whyte, San Jose, CA (US);

Giridharan Iyengar, San Jose, CA (US);

Assignee:

eBay Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/538 (2019.01); G06F 16/9535 (2019.01); G06F 16/532 (2019.01); G06K 9/62 (2006.01); G06F 3/0482 (2013.01); G06K 9/66 (2006.01); G06F 16/583 (2019.01); G06Q 30/06 (2012.01); G06N 20/00 (2019.01); G06F 3/01 (2006.01); G06K 9/00 (2006.01); G06F 3/0484 (2013.01); G06F 3/0488 (2013.01);
U.S. Cl.
CPC ...
G06Q 30/0627 (2013.01); G06F 3/017 (2013.01); G06F 16/532 (2019.01); G06F 16/538 (2019.01); G06F 16/583 (2019.01); G06F 16/9535 (2019.01); G06K 9/00671 (2013.01); G06K 9/6202 (2013.01); G06K 9/66 (2013.01); G06N 20/00 (2019.01); G06Q 30/0643 (2013.01); G06F 3/0482 (2013.01); G06F 3/0488 (2013.01); G06F 3/04842 (2013.01); G06Q 30/0621 (2013.01); G06Q 30/0631 (2013.01);
Abstract

Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.


Find Patent Forward Citations

Loading…