Media content discovery and character organization techniques

A computing system comprising a processor configured for performing configured for performing a set of acts comprising:

• storing, in 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 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.

A computing system comprising a processor configured for performing a set of acts comprising:

• storing, in 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 a preference coefficient associated with the user, wherein the preference coefficient is indicative of a degree of preference of the user regarding a character attribute;
• calculating a character rating of a first character appearing in a media content based on the preference coefficient and an attribute value of the first character corresponding to the character attribute;
• calculating a character rating of a second character appearing in the media content based on the preference coefficient and an attribute value of the second character corresponding to the character attribute;
• accessing a first salience value for the first character and a second salience value for the second character;
• calculating a media content rating for the media content based on the first character rating, the first salience value, the second character rating, and the second salience value, wherein the first salience value for the first character is based on a number of reactions detected in social media relating to the first character;
• and
• 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.