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:
Nov. 10, 2009

Filed:

Feb. 06, 2004
Applicants:

Neil Duncan Hunt, Mountain View, CA (US);

Stanley Miguel Lanning, La Honda, CA (US);

W. Reed Hastings, Santa Cruz, CA (US);

Shawn Michael Purcell, Palo Alto, CA (US);

Lawrence Wen-kai Shih, San Jose, CA (US);

John Robert Ciancutti, Saratoga, CA (US);

Inventors:

Neil Duncan Hunt, Mountain View, CA (US);

Stanley Miguel Lanning, La Honda, CA (US);

W. Reed Hastings, Santa Cruz, CA (US);

Shawn Michael Purcell, Palo Alto, CA (US);

Lawrence Wen-Kai Shih, San Jose, CA (US);

John Robert Ciancutti, Saratoga, CA (US);

Assignee:

Netflix, Inc., Los Gatos, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

According to another embodiment of the invention, an approach is provided for estimating how a particular user would rate a particular item from a plurality of items. The approach is applicable to any type of items, including rental items such as movies, music and games, and the invention is not limited to any particular type of item. One or more items from the plurality of items that have ratings similar to the particular item are identified. Then, one or more other users are identified that have given ratings to the one or more items that are substantially similar to ratings given by the particular user to the one or more items. Finally, an estimation is made of how the particular user would rate the particular item based upon ratings for the particular item given by the one or more other users.


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