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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.

Patent No.:

US 10462504 B1

PDFFull Text
Date of Patent:
Oct. 29, 2019

Filed:

Mar. 29, 2018

Targeting videos based on viewer similarity

Applicant:

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

Inventors:

Jason Lopatecki, San Francisco, CA (US);

Adam Rose, San Pablo, CA (US);

John Hughes, Lafayette, CA (US);

Brett Wilson, Alameda, CA (US);

Assignee:

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

Attorney:

Keller Jolley Preece

Primary Examiner:

Kyu Chae

Int. Cl.
CPC ...
H04H 60/33 (2008.01); H04H 60/45 (2008.01); H04H 60/32 (2008.01); H04N 7/10 (2006.01); H04N 7/025 (2006.01); G06Q 30/00 (2012.01); H04N 21/25 (2011.01); G06F 16/738 (2019.01); G06F 16/74 (2019.01); G06F 16/78 (2019.01); G06F 15/16 (2006.01); H04N 21/2662 (2011.01); H04N 21/2668 (2011.01); H04N 21/278 (2011.01); H04N 21/442 (2011.01); H04N 21/4788 (2011.01); H04N 21/658 (2011.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
H04N 21/252 (2013.01); G06F 15/16 (2013.01); G06F 16/738 (2019.01); G06F 16/743 (2019.01); G06F 16/7867 (2019.01); H04N 21/2662 (2013.01); H04N 21/2668 (2013.01); H04N 21/278 (2013.01); H04N 21/44222 (2013.01); H04N 21/4788 (2013.01); H04N 21/6582 (2013.01); H04L 67/02 (2013.01);
Abstract

Presentation of a video clip is made to persons having a high probability of viewing the clip. A database containing viewers of previously offered video clips is analyzed to determine similarities of preferences among viewers. When a new video clip has been watched by one or more viewers in the database, those viewers who have watched the new clip with positive results are compared with others in the database who have not yet seen it. Prospective viewers with similar preferences are identified as high likelihood candidates to watch the new clip when presented. Bids to offer the clip are based on the degree of likelihood. For one embodiment, a data collection agent (DCA) is loaded to a player and/or to a web page to collect viewing and behavior information to determine viewer preferences. Viewer behavior may be monitored passively by different disclosed methods.

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