Visually generated consumer product presentation

Patent metadata

Field	Value
Publication number	US-9760945-B2
Application number	US-201615266716-A
Country	US
Kind code	B2
Filing date	Sep 15, 2016
Priority date	Jun 25, 2013
Publication date	Sep 12, 2017
Grant date	Sep 12, 2017

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.

First claim

What is claimed is:

1. A method comprising:
first analyzing, by a computer processor of a computing system, digital content associated with a user, 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;
generating, by said computer processor based on results of analyzing said posted reviews and recommendations, 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 5 , wherein said video content comprises a video stream associated with said user.

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

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

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

13. The method of claim 12 , wherein said specified location comprises a retail location.

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:
first analyzing, by said computer processor of a computing system, digital content associated with a user, 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 re

Assignees

• IBM

Inventors

• Duponchel Bernadette R
• Flickner Myron
• Platt Victoria B
• Smith John R

Classifications

• G06T11/10

  Texturing; Colouring; Generation of textures or colours (retouching, inpainting or scratch removal G06T5/77) · CPC title

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• H04L67/306

  User profiles · CPC title

• G06Q30/0282

  Rating or review of business operators or products · CPC title

• G06Q30/0277

  Online advertisement · CPC title