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:
May. 02, 2023

Filed:

Dec. 09, 2020
Applicant:

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

Inventors:

Ashish Gupta, Karnataka, IN;

Vaibhav Gupta, Karnataka, IN;

Rohit Dhiman, Haridwar, IN;

Senthil Kumar Karuppasamy, Bangalore, IN;

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/442 (2011.01); H04N 21/462 (2011.01); H04N 21/475 (2011.01); H04N 21/482 (2011.01); G06F 16/242 (2019.01); G06F 16/245 (2019.01); G06F 16/2453 (2019.01); G06F 16/9035 (2019.01); G06F 16/9038 (2019.01); G06F 16/435 (2019.01); G06F 16/2457 (2019.01);
U.S. Cl.
CPC ...
H04N 21/4826 (2013.01); G06F 16/24578 (2019.01); G06F 16/435 (2019.01); H04N 21/44209 (2013.01);
Abstract

Systems and methods are described for recommending a content item. A search query for a content item is received. The availability of the content item from more than one source is determined. In response to determining that the content item is available from more than one source, the quality of each of the available content items from respective sources is determined. A recommendation factor is determined. The recommendation factor is based on at least one of the bandwidth available to a user device, the resolution capability of the user device, and the quality of experience of each of the sources from which the content item is available. A list of search results for the available content items is generated. The list is ordered based on the quality of each of the available content items from respective sources and the recommendation factor.


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