US 11,886,483 B2
Media content discovery and character organization techniques
Rachel Payne, Aliso Viejo, CA (US); Meghana Bhatt, Aliso Viejo, CA (US); and Natasha Mohanty, Aliso Viejo, CA (US)
Assigned to The Nielsen Company (US), LLC, New York, NY (US)
Filed by The Nielsen Company (US), LLC, New York, NY (US)
Filed on May 4, 2020, as Appl. No. 16/865,463.
Application 16/865,463 is a continuation of application No. 15/786,351, filed on Oct. 17, 2017, granted, now 10,642,882.
Application 15/786,351 is a continuation of application No. 15/238,677, filed on Aug. 16, 2016, granted, now 9,805,034, issued on Oct. 31, 2017.
Application 15/238,677 is a continuation of application No. 14/800,020, filed on Jul. 15, 2015, granted, now 9,442,931, issued on Sep. 13, 2016.
Application 14/800,020 is a continuation of application No. 14/466,882, filed on Aug. 22, 2014, granted, now 9,122,684, issued on Sep. 1, 2015.
Application 14/466,882 is a continuation of application No. 14/065,332, filed on Oct. 28, 2013, granted, now 8,819,031, issued on Aug. 26, 2014.
Application 14/065,332 is a continuation of application No. 13/844,125, filed on Mar. 15, 2013, granted, now 8,572,097, issued on Oct. 29, 2013.
Prior Publication US 2020/0265077 A1, Aug. 20, 2020
Int. Cl. G06F 16/435 (2019.01); G06F 16/43 (2019.01); G06F 16/44 (2019.01); G06F 16/18 (2019.01); G06F 16/33 (2019.01); G06F 16/78 (2019.01); G06F 16/2457 (2019.01); G06F 16/68 (2019.01); G06F 16/48 (2019.01)
CPC G06F 16/435 (2019.01) [G06F 16/24578 (2019.01); G06F 16/3334 (2019.01); G06F 16/43 (2019.01); G06F 16/44 (2019.01); G06F 16/48 (2019.01); G06F 16/7867 (2019.01); G06F 16/68 (2019.01); G06F 16/78 (2019.01)] 17 Claims
OG exemplary drawing
 
1. A method of recommending media content performed by a computing system comprising a processor and a memory, the method comprising:
storing, in the memory, a character preference function that is associated with a user of the computing system and that identifies preference coefficients that indicate character attributes of interest to the user;
accessing the character preference function stored in the memory to determine a first preference coefficient associated with the user and a second preference coefficient associated with the user, wherein the first preference coefficient is indicative of a degree of preference of the user regarding a first character attribute, and wherein the second preference coefficient is indicative of a degree of preference of the user regarding a second character attribute;
calculating a character rating of a character appearing in a media content based on the first preference coefficient, a first attribute value of the character corresponding to the first character attribute, the second preference coefficient, and a second attribute value of the character corresponding to the second character attribute;
calculating a media content rating for the media content based on the character rating, wherein the media content rating for the media content is further based on a salience value for the character, and wherein the salience value for the character is based on a number of reactions detected in social media relating to the character;
selecting, based on the media content rating, the media content from among a plurality of media contents; and
generating, for display on a display device communicatively coupled to the computing system, a display of the selected media content as recommended content for the user, wherein generating the display of the selected media content comprises recommending, based on the media content rating, the selected media content.