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.:
Date of Patent:
Dec. 26, 2017
Filed:
May. 14, 2013
Applicant:
Tivo Solutions Inc., San Carlos, CA (US);
Inventors:
Kamal Ali, Alviso, CA (US);
Wijnand J. Van Stam, Alviso, CA (US);
Assignee:
TiVo Solutions Inc., San Carlos, CA (US);
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 7/10 (2006.01); H04N 5/445 (2011.01); H04N 7/173 (2011.01); H04N 21/466 (2011.01); G11B 27/10 (2006.01); H04N 5/76 (2006.01); H04N 5/782 (2006.01); H04N 21/25 (2011.01); H04N 21/4147 (2011.01); H04N 21/433 (2011.01); H04N 21/442 (2011.01); H04N 21/443 (2011.01); H04N 21/45 (2011.01); H04N 21/454 (2011.01); H04N 21/472 (2011.01); H04N 21/475 (2011.01); H04N 21/478 (2011.01); H04N 21/482 (2011.01); H04N 21/485 (2011.01); H04N 21/6543 (2011.01); H04N 21/81 (2011.01); G06F 17/30 (2006.01); G11B 27/34 (2006.01); H04N 21/431 (2011.01); H04N 21/47 (2011.01);
U.S. Cl.
CPC ...
H04N 21/466 (2013.01); G06F 17/3082 (2013.01); G06F 17/30828 (2013.01); G11B 27/105 (2013.01); H04N 5/44513 (2013.01); H04N 5/44543 (2013.01); H04N 5/76 (2013.01); H04N 5/782 (2013.01); H04N 7/173 (2013.01); H04N 7/17318 (2013.01); H04N 7/17354 (2013.01); H04N 21/252 (2013.01); H04N 21/4147 (2013.01); H04N 21/4334 (2013.01); H04N 21/443 (2013.01); H04N 21/44222 (2013.01); H04N 21/454 (2013.01); H04N 21/4532 (2013.01); H04N 21/4663 (2013.01); H04N 21/478 (2013.01); H04N 21/4756 (2013.01); H04N 21/47214 (2013.01); H04N 21/485 (2013.01); H04N 21/4826 (2013.01); H04N 21/4828 (2013.01); H04N 21/6543 (2013.01); H04N 21/812 (2013.01); H04N 21/8166 (2013.01); G11B 27/34 (2013.01); G11B 2220/20 (2013.01); H04N 21/4316 (2013.01); H04N 21/47 (2013.01);
Abstract
A system and method for making program recommendations to users of a network-based video recording system utilizes expressed preferences as inputs to collaborative filtering and Bayesian predictive algorithms to rate television programs using a graphical rating system. The predictive algorithms are adaptive, improving in accuracy as more programs are rated.