RECORDING RATINGS OF MEDIA SEGMENTS AND PROVIDING INDIVIDUALIZED RATINGS

• US 20180098125A1
• Filed: 10/05/2016
• Published: 04/05/2018
• Est. Priority Date: 10/05/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Bender, Michael, Boss, Greg J., Childress, Edward T., Childress, Rhonda L.
• Granted Patent: US 10,631,055 B2
• Time in Patent Office: Days
• CPC Class Codes: H04N 21/23418 involving operations for analysing video streams, e.g. detecting features or characteristics television picture signal circuitry for scene change detection H04N5/147; filtering for image enhancement G06T5/00; methods or arrangements for recognising scenes G06V20/00; arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/44008 involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/8456 by decomposing the content in the time domain, e.g. in time segments

Abstract

A method, system, and computer program product are disclosed for customized ratings for specified media items. In embodiments, the method comprises a user giving input about multiple segments of a first specified media item, analyzing the input from the user, and correlating the analyzed input with multiple segments of a second specified media item to provide to the user a customized content rating of the second media item. In embodiments, the system comprises a first processing device for receiving input from a user about multiple segments of a first specified media item; and a computing system for receiving the user input from the first processing device, for analyzing the user input, and for correlating the analyzed input with multiple segments of a second specified media item to provide to the user a customized content rating of the second media item.

Claims

1. A method of providing customized ratings for specified media items, comprising:

a user giving input to a user communications device about each of multiple segments of a first specified media item;

a computer system receiving the input from the user from the user communications device;

the computer system analyzing said input from the user and analyzing each of the multiple segments of the first specified media item to determine one or more correlations between said each of the multiple segments and the input given by the user about the each of the multiple segments;

the computer system analyzing the multiple segments of the first specified media item and said correlations to verify patterns in the multiple segments of the first specified media item that cause the user to give the input for the each of the multiple segments; and

the computer system correlating the analyzed input with multiple segments of a second specified media item to provide to the user a content rating customized for the user of the second media item, including correlating patterns in the second media item with said patterns in the first media item to use the input from the user about the multiple segments of the first media item to determine the customized content rating of the second media item.

2. The method according to claim 1, wherein:

the analyzing said input includes identifying defined likes and dislikes of the user from said input; and

the correlating the analyzed input includes comparing said defined likes and dislikes of the user to the multiple segments of the second specified media item.

3. The method according to claim 1, wherein the user giving input about multiple segments of a first specified media item includes the user providing input relative to an existing content guide to the first specified media item.

4. The method according to claim 3, wherein:

the user providing input relative to an existing content guide includes

providing the content guide to the user,

the user marking elements of the content guide, and

correlating the markings of the user with subject matter of the first media item; and

the correlating the analyzed input with multiple segments of a second specified media item includes

the user identifying the second media item,

analyzing the second media item to find patterns having defined relationships with the first media item, and

applying a rating to the second media item based on correlations of said patterns.

5. The method according to claim 1, wherein the user providing input about multiple segments of a first specified media item includes the user watching specified video content and providing said input while watching the specified video content.

6. The method according to claim 1, wherein the correlating the analyzed input with multiple segments of a second specified media item includes applying cognitive analysis of the input and the multiple segments of the first media item to identify correlations between the user input and the multiple segments of the first media item.

7. The method according to claim 6, wherein the applying cognitive analysis to the input and the multiple segments of the first media content includes:

identifying inter segment correlations between said multiple segments of the first media content and the user input; and

identifying intra segment correlations to verify patterns that cause the user to rate each of the segments of the first media item a specified way.

8. The method according to claim 6, wherein the applying cognitive analysis to the input and the multiple segments of the first media content includes:

applying a customized rating to each of the multiple segments of the first media item; and

applying a customized overall rating to the first media item based on the ratings applies to the multiple segments of the first media item.

9. The method according to claim 1, further comprising separating the first media item into the multiple segments based on content of the first media item.

10. The method according to claim 1, further comprising separating the first media item into the multiple segments based on the user input.

11. A system for providing customized ratings for specified media items, comprising:

a first processing device for receiving input from a user about each of multiple segments of a first specified media item; and

a computing system for receiving the user input from the first processing device, for analyzing the user input and analyzing each of the multiple segments of the first specified media item to determine one or more correlations between said each of the multiple segments and the input given by the user about the each of the multiple segments, for analyzing the multiple segments of the first specified media item and said correlations to verify patterns in the multiple segments of the first specified media item that cause the user to give the input for the each of the multiple segments, and for correlating the analyzed input with multiple segments of a second specified media item to provide to the user a content rating customized for the user of the second media item, including correlating patterns in the second media item with said patterns in the first media item to use the input from the user about the multiple segments of the first media item to determine the customized content rating of the second media item.

12. The system according to claim 11, wherein:

the analyzing said input includes identifying defined likes and dislikes of the user from said input; and

the correlating the analyzed input includes comparing said defined likes and dislikes of the user to the multiple segments of the second specified media item.

13. The system according to claim 11, wherein the input from the user includes input relative to an existing content guide to the first specified media item, and wherein:

the analyzing the user input includes correlating the user input relative to the existing content guide with subject matter of the first media item; and

the correlating the analyzed input with multiple segments of a second specified media item includes analyzing the second media item to find patterns having defined relationships with the first media item, and applying a rating to the second media item based on correlations of said patterns.

14. The system according to claim 11, wherein the first processing device is a mobile communications device, and the first media item is specified video content, and the mobile communications device receives the input from the user while the user is watching the specified video content.

15. The system according to claim 11, wherein the computing system applies a cognitive analysis of the input and the multiple segments of the first media item to identify correlations between the user input and the multiple segments of the first media item.

16. A computer program product for providing customized ratings for specified media items, the computer program product comprising:

a computer readable hardware storage medium having program instructions embodied therein, the program instructions executable by a computer to cause the computer to;

receive input from a user from a user communications device about each of multiple segments of a first specified media item;

analyze the user input and analyze each of the multiple segments of the first specified media item to determine one or more correlations between said each of the multiple segments and the input given by the user about the each of the multiple segments;

and analyze the multiple segments of the first specified media item and said correlations to verify patterns in the multiple segments of the first specified media item that cause the user to give the input for the each of the multiple segments; and

correlate the analyzed input with multiple segments of a second specified media item to provide to the user a content rating customized for the user of the second media item, including correlating patterns in the second media item with patterns in the first media item to use the input from the user about the multiple segments of the first media item to determine the customized content rating of the second media item.

17. The computer program product according to claim 16, wherein the user input includes user input relative to an existing content guide to the first specified media item.

18. The computer program product according to claim 16, wherein the program instructions executable by a computer to cause the computer to:

apply cognitive analysis of the input and the multiple segments of the first media item to identify correlations between the user input and the multiple segments of the first media item.

19. The computer program product according to claim 18, wherein the cognitive analysis of the input and the multiple segments of the first media content includes:

identifying inter segment correlations between said multiple segments of the first media content and the user input; and

identifying intra segment correlations to verify patterns that cause the user to rate each of the segments of the first media item a specified way.

20. The computer program product according to claim 16, wherein the program instructions are executable by a computer to cause the computer to:

separate the first media item into the multiple segments based on content of the first media item.