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:
Oct. 22, 2024

Filed:

Dec. 29, 2022
Applicant:

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

Inventors:

Fei Xiao, San Jose, CA (US);

Abhishek Bambha, Burlingame, CA (US);

Nam Vo, San Jose, CA (US);

Pulkit Aggarwal, San Jose, CA (US);

Rohit Mahto, San Jose, CA (US);

Andrey Vlasenko, San Jose, CA (US);

Rameen Mahdavi, San Jose, CA (US);

Assignee:

ROKU, INC., San Jose, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/81 (2011.01); G06Q 30/0241 (2023.01); G06Q 30/0251 (2023.01); H04N 21/25 (2011.01); H04N 21/254 (2011.01);
U.S. Cl.
CPC ...
H04N 21/812 (2013.01); G06Q 30/0249 (2013.01); G06Q 30/0254 (2013.01); H04N 21/251 (2013.01); H04N 21/2542 (2013.01);
Abstract

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for a content acquisition system to recommend for acquisition a subset of content items selected from a set of content items available for purchase in relation to a content recommendation system currently used in a media environment. The content acquisition system may include a content recommendation system simulator to estimate an impact function value for a potential subset of content items of the set of content items available for purchase based on the currently used content recommendation system. Afterwards, an acquisition recommender can recommend for acquisition a subset of content items based on an optimized objective function value calculated based on an optimization model while meeting one or more budget constraints.


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