Patent ID: 9442931
Filing Date: 2016-09-13
CPC Classification: G06F

Claim Text:
1. A computer-implemented method of recommending media content, the method comprising: accessing a character preference function of a user, the character preference function comprising information identifying a plurality of preference coefficients, each preference coefficient of the plurality of preference coefficients associated with at least one attribute of interest of a plurality of attributes; accessing a first character model, the first character model comprising information identifying a first set of attribute values for the plurality of attributes of a first character of a plurality of characters appearing in a media content; accessing a second character model, the second character model comprising information identifying a second set of attribute values for the plurality of attributes of a second character of the plurality of characters; calculating a first character rating of the first character by performing a summation of the products of multiplying the plurality of preference coefficients with the first set of attribute values; calculating a second character rating of the second character by performing a summation of the products of multiplying the plurality of preference coefficients with the second set of attribute values; calculating a media content rating, the media content rating calculated based on the first character rating and the second character rating; and recommending the media content to the user based on the media content rating.