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:
Jun. 04, 2019

Filed:

Jul. 08, 2011
Applicants:

Carlos Alberto Gomez Uribe, Mountain View, CA (US);

Eric Lucas, Mountain View, CA (US);

Satish Kumar Krishnamurthy, Los Gatos, CA (US);

Christopher Francis Pouliot, San Mateo, CA (US);

Inventors:

Carlos Alberto Gomez Uribe, Mountain View, CA (US);

Eric Lucas, Mountain View, CA (US);

Satish Kumar Krishnamurthy, Los Gatos, CA (US);

Christopher Francis Pouliot, San Mateo, CA (US);

Assignee:

NETFLIX, INC., Los Gatos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G06Q 10/06 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/06 (2013.01); G06Q 30/0201 (2013.01);
Abstract

One embodiment of the invention sets forth a mechanism for identifying similar items within a plurality of items available to a group of users. The mechanism includes identifying a first count that indicates a number of times any user has interacted with a first item included in the plurality of items and subsequently with any other item, identifying a second count that indicates a number of times any user within the has interacted with a second item included in the plurality of items after interacting with the first item, computing a probability that indicates the likelihood of a particular user interacting with the second item after interacting with the first item based on the first count and the second count, and computing a similarity score that indicates the similarity between the first item and the second item based on the probability and a popularity score associated with the second item.


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