Visually generated consumer product presentation

• US 9,477,973 B2
• Filed: 06/25/2013
• Issued: 10/25/2016
• Est. Priority Date: 06/25/2013
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines SA (International Business Machines Corporation)
• Inventors: Duponchel, Bernadette R., Flickner, Myron, Platt, Victoria B., Smith, John R.
• Primary Examiner(s): Pan, Yongjia
• Application Number:
  US13/926,544
• Publication Number:
  US 20140379484A1
• Time in Patent Office: 1,218 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06T 11/001 Texturing; Colouring; Generation of texture or colour inpainting G06T5/77
• CPC Class Codes: H04L 67/306 User profiles

Abstract

A personalization enhancement method and system. The method includes retrieving and analyzing digital content associated with a user. Characteristics describing the digital content are tagged and transferred to a profile of said the user. The profile includes additional characteristics generated during previous analysis of data from the digital content and additional digital content associated with the user. User information associated with products, a location, and a time profile is assigned. The profile is analyzed based on selection and interaction of the user with respect to a consumer Website. The profile includes the characteristics and the additional characteristics with respect to products and services of the consumer Website. A presentation color setting and a group of products and services of are determined for presentation to the user. The group of products and services are presented to the user using the presentation color setting.

Claims

1. A method comprising:

retrieving, by a computer processor of a computing system, digital content associated with a user;

first analyzing, by said computer processor, said digital content, wherein said first analyzing comprises;

analyzing a pixel level for each image and each video of said digital content;

generating a multilevel description of visual features for each said image and each said video, wherein said visual features comprise colors, textures, shapes, and spatial layouts for each said image and each said video;

identifying pre-defined semantic categories for each said image and each said video;

determining mood preferences for said user; and

determining personality traits of said user;

automatically identifying, by said computer processor, duplicate visual image data within said digital content;

automatically removing, by said computer processor, said duplicate visual image data from said digital content;

tagging, by said computer processor based on results of said first analyzing, characteristics describing said digital content;

transferring, by said computer processor, said characteristics to a profile of said user, said profile comprising additional characteristics generated during a previous text analysis of data from said digital content and additional digital content associated with said user, wherein said additional digital content is associated with prior interactions between said user and a company via a sensor based retrieval process associated with retrieving said additional digital content via sensors at a location of said company;

assigning, by said computer processor based on said previous text analysis, user information associated with products, a location, and a time profile;

determining, by said computer processor, that said user is currently visiting a consumer Website of said company;

retrieving, by said computer processor from said digital content of said user, posted reviews and recommendations from said user posted on a social network portion of said consumer Website;

analyzing, by said computer processor, said posted reviews and recommendations;

generating, by said computer processor based on results of said analyzing, review based text data describing said posted reviews and recommendations;

transferring, by said computer processor, said review based text data to said profile of said user;

second analyzing, by said computer processor based on results of said automatically identifying and a selection and interaction of said user with respect to said consumer Website, said profile comprising said characteristics, said review based text data, and said additional characteristics with respect to products and services of said consumer Website;

determining, by said computer processor based on results of said second analyzing, a presentation color setting and a group of products and services of said products and services for presentation to said user; and

presenting, by said computer processor to said user using said presentation color setting, said group of products and services.

2. The method of claim 1, further comprising:

retrieving, by said computer processor from said digital content of said user, audio content associated with said user;

third analyzing, by said computer processor, said audio content;

generating, by said computer processor based on results of said third analyzing, text data describing said audio content;

transferring, by said computer processor, said text data to said profile of said user, wherein said second analyzing further comprises analyzing said profile comprising said characteristics, said text data, and said additional characteristics with respect to said products and services.

3. The method of claim 2, wherein said audio content comprises musical content belonging to said user.

4. The method of claim 2, wherein said text data comprises data associated with a social network like or dislike tag, a description, a review, or a recommendation.

5. The method of claim 1, further comprising:

retrieving, by said computer processor from said digital content of said user, video content associated with said user;

third analyzing, by said computer processor, said video content;

generating, by said computer processor based on results of said third analyzing, text data describing said video content;

transferring, by said computer processor, said text data to said profile of said user, wherein said second analyzing further comprises analyzing said profile comprising said characteristics, said text data, and said additional characteristics with respect to said products and services.

6. The method of claim 5, wherein said video content comprises a digital image associated with said user.

7. The method of claim 6, wherein said digital image comprises an image of said user at a specified location.

8. The method of claim 6, wherein said digital image comprises an image a specified location.

9. The method of claim 8, wherein said specified location comprises a retail location.

10. The method of claim 5, wherein said video content comprises a video stream associated with said user.

11. The method of claim 1, wherein said digital content is retrieved from at least one social network of said user.

12. The method of claim 1, wherein said digital content is retrieved from at least one media sharing space of said user.

13. The method of claim 1, wherein said group of products and services is presented to said user via a digital advertisement.

14. The method of claim 1, wherein said digital content comprises content selected from the group consisting of digital content generated by said user, digital content generated commercially and selected by said user, digital content generated by a social network and selected by said user, and digital artifacts associated with said user.

15. The method of claim 1, wherein said characteristics comprise digital image characteristics selected from the group consisting of a form, a shape, a color, a tone, a hue, a dimension, a contrast, a coordination, a setting, a light, a location, and an object of said digital image.

16. The method of claim 1, further comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable program code in a computing system, wherein the program code in combination with said computing system is configured to implement the method of claim 1.

17. A computer program product, comprising a non-transitory computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a computer processor of a computer system implements a method, said method comprising:

retrieving, by said computer processor, digital content associated with a user;

first analyzing, by said computer processor, said digital content, wherein said first analyzing comprises;

analyzing a pixel level for each image and each video of said digital content;

generating a multilevel description of visual features for each said image and each said video, wherein said visual features comprise colors, textures, shapes, and spatial layouts for each said image and each said video;

identifying pre-defined semantic categories for each said image and each said video;

determining mood preferences for said user; and

determining personality traits of said user;

automatically identifying, by said computer processor, duplicate visual image data within said digital content;

automatically removing, by said computer processor, said duplicate visual image data from said digital content;

tagging, by said computer processor based on results of said first analyzing, characteristics describing said digital content;

transferring, by said computer processor, said characteristics to a profile of said user, said profile comprising additional characteristics generated during a previous text analysis of data from said digital content and additional digital content associated with said user, wherein said additional digital content is associated with prior interactions between said user and a company via a sensor based retrieval process associated with retrieving said additional digital content via sensors at a location of said company;

assigning, by said computer processor based on said previous text analysis, user information associated with products, a location, and a time profile;

determining, by said computer processor, that said user is currently visiting a consumer Website of said company;

retrieving, by said computer processor from said digital content of said user, posted reviews and recommendations from said user posted on a social network portion of said consumer Website;

analyzing, by said computer processor, said posted reviews and recommendations;

generating, by said computer processor based on results of said analyzing, review based text data describing said posted reviews and recommendations;

transferring, by said computer processor, said review based text data to said profile of said user;

second analyzing, by said computer processor based on results of said automatically identifying and a selection and interaction of said user with respect to said consumer Website, said profile comprising said characteristics, said review based text data, and said additional characteristics with respect to products and services of said consumer Website;

determining, by said computer processor based on results of said second analyzing, a presentation color setting and a group of products and services of said products and services for presentation to said user; and

presenting, by said computer processor to said user using said presentation color setting, said group of products and services.

18. The computer program product of claim 17, wherein said method further comprises:

retrieving, by said computer processor from said digital content of said user, audio content associated with said user;

third analyzing, by said computer processor, said audio content;

generating, by said computer processor based on results of said third analyzing, second text data describing said audio content;

transferring, by said computer processor, said second text data to said profile of said user, wherein said second analyzing further comprises analyzing said profile comprising said first text data, said second text data, and said additional text data with respect to said products and services.

19. The computer program product of claim 17, wherein said audio content comprises musical content belonging to said user.

20. A computer system comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a method comprising:

retrieving, by said computer processor, digital content associated with a user;

first analyzing, by said computer processor, said digital content, wherein said first analyzing comprises;

analyzing a pixel level for each image and each video of said digital content;

generating a multilevel description of visual features for each said image and each said video, wherein said visual features comprise colors, textures, shapes, and spatial layouts for each said image and each said video;

identifying pre-defined semantic categories for each said image and each said video;

determining mood preferences for said user; and

determining personality traits of said user;

automatically identifying, by said computer processor, duplicate visual image data within said digital content;

automatically removing, by said computer processor, said duplicate visual image data from said digital content;

tagging, by said computer processor based on results of said first analyzing, characteristics describing said digital content;

transferring, by said computer processor, said characteristics to a profile of said user, said profile comprising additional characteristics generated during a previous text analysis of data from said digital content and additional digital content associated with said user, wherein said additional digital content is associated with prior interactions between said user and a company via a sensor based retrieval process associated with retrieving said additional digital content via sensors at a location of said company;

assigning, by said computer processor based on said previous text analysis, user information associated with products, a location, and a time profile;

determining, by said computer processor, that said user is currently visiting a consumer Website of said company;

retrieving, by said computer processor from said digital content of said user, posted reviews and recommendations from said user posted on a social network portion of said consumer Website;

analyzing, by said computer processor, said posted reviews and recommendations;

generating, by said computer processor based on results of said analyzing, review based text data describing said posted reviews and recommendations;

transferring, by said computer processor, said review based text data to said profile of said user;

second analyzing, by said computer processor based on results of said automatically identifying and a selection and interaction of said user with respect to said consumer Website, said profile comprising said characteristics, said review based text data, and said additional characteristics with respect to products and services of said consumer Website;

determining, by said computer processor based on results of said second analyzing, a presentation color setting and a group of products and services of said products and services for presentation to said user; and

presenting, by said computer processor to said user using said presentation color setting, said group of products and services.