US 9,805,034 B2 · Media content discovery and character organization techniques

Abstract

Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a first character. The first and second characters are associated with a first and second salience value, respectively. A second character model comprises a second set of attribute values for the plurality of attributes of a second character of the plurality of characters. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the second character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. A media is recommended based on the media rating.

Claims18

Dependent claims

A computer-implemented method of recommending media content, the method comprising:

accessing 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 plurality of attribute values for the plurality of attributes of a first character of a plurality of characters of a media content;
accessing a second plurality 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 based on the plurality of preference coefficients and the first plurality of attribute values;
calculating a second character rating of the second character based on the plurality of preference coefficients and the second plurality 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
selecting, based on the media content rating, the media content from among a plurality of media contents.

5 more elements

A non-transitory computer-readable storage medium comprising computer-executable instructions for recommending media content, the computer-executable instructions comprising instructions for:

accessing 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 plurality of attribute values for the plurality of attributes of a first character of a plurality of characters of a media content;
accessing a second plurality 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 based on the plurality of preference coefficients and the first plurality of attribute values;
calculating a second character rating of the second character based on the plurality of preference coefficients and the second plurality 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
selecting, based on the media content rating, the media content.

5 more elements

An apparatus for recommending media content, the apparatus comprising:

a memory;
and
one or more computer processors configured to:
access 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;
access a first plurality of attribute values for the plurality of attributes of a first character of a plurality of characters of a media content;
access a second plurality of attribute values for the plurality of attributes of a second character of the plurality of characters;
calculate a first character rating of the first character based on the plurality of preference coefficients and the first plurality of attribute values;
calculate a second character rating of the second character based on the plurality of preference coefficients and the second plurality of attribute values;
calculate a media content rating, the media content rating calculated based on the first character rating and the second character rating;
and
select, based on the media content rating, the media content.

8 more elements

Dependencies are inferred from the claim text.

Media content discovery and character organization techniques

Life of this patent

Media content discovery and character organization techniques

Life of this patent

Abstract

Claims18