Movie content rating
AssigneeInternational Business Machines Corporation
InventorsFlorian Pinel, Russell P. Bobbitt
Life of this patent
Estimating the term…
Abstract
An approach is provided in which an information handling system trains a classifier using rated content segments that each has a first content type rating corresponding to a content type. Then, the information handling system uses the trained classifier to classify unrated content segments corresponding to an unrated content and generates second content type ratings for each of unrated content segments accordingly that identify a corresponding content type. In turn, the information handling system generates an overall content rating of the unrated content based on a combination of the second content type ratings.
Claims20
A method implemented by an information handling system that includes a memory and a processor, the method comprising:
- training a classifier against a plurality of rated content segments each having at least one of a plurality of first content type ratings corresponding to one of a plurality of content types;
- segmenting an unrated content into a plurality of unrated content segments, wherein the plurality of unrated content segments comprises a first unrated content segment;
- classifying, by the trained classifier, each of the plurality of unrated content segments, wherein the classifying generates a plurality of second content type ratings corresponding to the plurality of unrated content segments, each of the plurality of second content type ratings corresponding to at least one of the plurality of content types;
- generating an overall content rating of the unrated content based on a combination of the plurality of second content type ratings;
- receiving a second unrated content segment to replace the first unrated content segment in response to generating the overall content rating;
- adjusting at least one of the plurality of second content type ratings based on the second unrated content segment;
- and
- generating an adjusted overall content rating of the unrated content based on the adjusted at least one second content type rating.
An information handling system comprising:
- one or more processors;
- a memory coupled to at least one of the processors;
- a set of computer program instructions stored in the memory and executed by at least one of the processors in order to perform actions of:
- training a classifier against a plurality of rated content segments each having at least one of a plurality of first content type ratings corresponding to one of a plurality of content types;
- segmenting an unrated content into a plurality of unrated content segments, wherein the plurality of unrated content segments comprises a first unrated content segment;
- classifying, by the trained classifier, each of the plurality of unrated content segments, wherein the classifying generates a plurality of second content type ratings corresponding to the plurality of unrated content segments, each of the plurality of second content type ratings corresponding to at least one of the plurality of content types;
- generating an overall content rating of the unrated content based on a combination of the plurality of second content type ratings;
- receiving a second unrated content segment to replace the first unrated content segment in response to generating the overall content rating;
- adjusting at least one of the plurality of second content type ratings based on the second unrated content segment;
- and
- generating an adjusted overall content rating of the unrated content based on the adjusted at least one second content type rating.
A computer program product stored in a computer readable storage medium, comprising computer program code that, when executed by an information handling system, causes the information handling system to perform actions comprising:
- training a classifier against a plurality of rated content segments each having at least one of a plurality of first content type ratings corresponding to one of a plurality of content types;
- segmenting an unrated content into a plurality of unrated content segments, wherein the plurality of unrated content segments comprises a first unrated content segment;
- classifying, by the trained classifier, each of the plurality of unrated content segments, wherein the classifying generates a plurality of second content type ratings corresponding to the plurality of unrated content segments, each of the plurality of second content type ratings corresponding to at least one of the plurality of content types;
- generating an overall content rating of the unrated content based on a combination of the plurality of second content type ratings;
- receiving a second unrated content segment to replace the first unrated content segment in response to generating the overall content rating;
- adjusting at least one of the plurality of second content type ratings based on the second unrated content segment;
- and
- generating an adjusted overall content rating of the unrated content based on the adjusted at least one second content type rating.
Dependencies are inferred from the claim text.