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. 29, 2022

Filed:

Mar. 29, 2019
Applicant:

Rovi Guides, Inc., San Jose, CA (US);

Inventors:

Kyle Miller, Durham, NC (US);

Bryan S. Scappini, Cary, NC (US);

James W. Lent, Durham, NC (US);

Assignee:

Rovi Guides, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/23 (2020.01); G06Q 20/40 (2012.01); G06Q 50/18 (2012.01); A61F 2/28 (2006.01); G06N 5/02 (2006.01); G06Q 30/02 (2012.01); G06N 3/12 (2006.01); H04N 21/25 (2011.01);
U.S. Cl.
CPC ...
G06N 5/02 (2013.01); G06N 3/12 (2013.01); G06Q 30/0202 (2013.01); H04N 21/251 (2013.01);
Abstract

Systems and associated methods are described for providing content recommendations. The system accesses a plurality of recommendation algorithms and assigns a plurality of weight values to each prediction algorithm. Then, the system generates a set of candidate weight combinations, such that each candidate combination includes a weight value assigned to each prediction algorithm. Then requests for content items are received over a predetermined period of time. For each combination, the system generates a set of recommended content items and an evaluation metric that is based on matches with requests. Afterwards, the system replaces a candidate combination that resulted in a generation of a lowest evaluation metric. The aforementioned steps are repeated until the evaluation metrics stop improving. Then display identifiers are displayed for a set of recommended content items generated for a candidate combination with the highest evaluation metric.


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