Customizing digital content based on consumer context data

Patent metadata

Field	Value
Publication number	US-11076202-B2
Application number	US-201815946153-A
Country	US
Kind code	B2
Filing date	Apr 5, 2018
Priority date	Apr 5, 2018
Publication date	Jul 27, 2021
Grant date	Jul 27, 2021

Abstract

Systems and methods for customizing digital content based on consumer context data are disclosed. In embodiments, a computer-implemented method, comprises: determining, by a computing device, a goodness of fit of one or more digital content segments for a digital product based on asset success metrics indicating a trend in consumer consumption of content; identifying, by the computing device, a select digital content segment from the one or more digital content segments based on the goodness of fit; and incorporating, by the computing device, the select digital content segment into the digital product.

First claim

What is claimed is:

1. A computer-implemented method, comprising:
identifying, by a computing device, a content object in a digital product based on asset data using computer recognition techniques, wherein the content object includes an image;
recording timestamp data indicating a location of the content object in the digital product;
determining, by the computing device, a total time the content object is on-screen during a video broadcast of the digital product based on the timestamp data;
determining, by the computing device, compliance or non-compliance of the content object with a predetermined asset rule based on the total time the content object is on-screen;
determining, by the computing device, asset success metrics for the content object by comparing consumer context data with the timestamp data, wherein the asset success metrics comprise measurements associated with success of the content object with respect to consumption of digital content in the digital product by consumers;
determining, by the computing device, a goodness of fit of one or more digital content segments for the digital product based on asset success metrics;
identifying, by the computing device, a select digital content segment from the one or more digital content segments based on the goodness of fit; and
incorporating, by the computing device, the select digital content segment into the digital product.

2. The method of claim 1 , wherein the one or more digital content segments are selected from a group consisting of: audio data, visual data, and combinations thereof.

3. The method of claim 2 , wherein:
the digital product comprises a streaming digital video received at the computing device; and
the determining the goodness fit of the one or more digital content segments occurs concurrently with the receiving of the streaming digital video.

4. The method of claim 1 , wherein:
each of the one or more digital content segments comprises a different stylistic version of at least a portion of an advertisement; and
the select digital content segment is determined to have a best goodness of fit for the asset success metrics.

5. The method of claim 1 , wherein the content object comprises an image.

6. The method of claim 5 , where the at least one content object comprises a negative sentiment expressed by one or more portions of the digital product, and the select digital content segment comprises a positive sentiment.

7. The method of claim 1 , wherein the determining the compliance or non-compliance of the content object with the predetermined asset rule comprises determining non-compliance by comparing the total time the content object is on-screen with the predetermined asset rule indicating a threshold value for onscreen time of the content object; the method further comprising:
sending, by the computing device, a notification indicating the non-compliance.

8. The method of claim 1 , further comprising modifying, by the computing device, the digital product based on the asset success metrics.

9. The method of claim 8 , wherein the modifying the digital product comprises increasing instances of the at least one content object in the digital product based on the asset success metrics.

10. A computer program product for customizing digital content based on consumer context data, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:
identify a content object in a digital product based on asset data using computer recognition techniques, wherein the content object includes an image;
record timestamp data indicating a location of the content object in the digital product;
determine compliance of the content object with a predetermined asset rule based on a total time the content object is on-screen;
determine asset success metrics for the content object by comparing consumer context data with the timestamp data, wherein the asset success metrics comprise measurements associated with success of the content object with respect to consumption of digital content in the digital product by consumers;
determine a goodness of fit of one or more digital content segments for the digital product based on the asset success metrics;
identify a select digital content segment from the one or more digital content segments based on the goodness of fit and rules in a rules database; and
incorporate the select digital content segment into the digital product to create a modified digital product.

11. The computer program product of claim 10 , wherein:
the content object comprises an image, a sound, an idea, a context of a portion of the digital product, or a sentiment expressed by a portion of the digital product; and
the one or more digital content segments are selected from a group consisting of: audio data, visual data, and combinations thereof.

12. The computer program product of claim 11 , wherein:
the digital product comprises a streaming digital video received at the computing device; and
wherein the determining the goodness fit of the one or more digital content segments occurs concurrently with the receiving of the streaming digital video.

13. The computer program product of claim 10 , wherein:
each of the one or more digital content segments comprises a different stylistic version of at least a portion of an advertisement; and
wherein the select digital content segment is determined to have a best goodness of fit for the asset success metrics.

14. The computer program product of claim 10 , wherein the identifying the content object comprises identifying multiple content objects, and wherein the program instructions further cause the computing device to:
rank the multiple content objects based on dwell time of consumers with respect to the multiple content objects.

15. The computer program product of claim 10 , wherein the program instructions further cause the computing device to: store the asset data received from another computing device, wherein the identifying the content object in the digital product based on the asset data comprises matching the image to an image of the asset data.

16. A system for customizing digital content based on consumer context data, comprising:
a CPU, a computer readable memory and a computer readable storage medium associated with a computing device;
program instructions to receiving streaming video data;
program instructions to identify a content object in the streaming video data using computer recognition techniques;
program instructions to record timestamp data indicating a location of the content object in the streaming video data;
program instructions to determine asset success metrics for the content object by comparing consumer context data with the timestamp data, wherein the asset success metrics comprise measurements associated with success of the content object with respect to consumption of digital content in the digital product by consumers; and
program instructions to modify the content object based on the asset success metrics;
wherein the program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

17. The system of claim 16 , further comprising:
program instructions to determine a goodness of fit of digital content segments for the streaming video data based on the asset success metrics; and
program instructions to identify a select digital content segment from the digital content segment

Assignees

• IBM

Inventors

• Baughman Aaron K
• Cannon Gray
• Hammer Stephen C
• Provan David

Classifications

• H04N21/44226

  on social networks · CPC title

• H04N21/812

  involving advertisement data (advertising per se G06Q30/02) · CPC title

• G06Q30/0277 Primary

  Online advertisement · CPC title

• H04N21/4532 Primary

  involving end-user characteristics, e.g. viewer profile, preferences (monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18) · CPC title

• H04N21/44222

  Analytics of user selections, e.g. selection of programmes or purchase activity (monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33) · CPC title