Visually generated consumer product presentation
First Claim
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.
1 Assignment
0 Petitions
Accused Products
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.
-
Citations
20 Claims
-
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. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
-
-
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 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. - View Dependent Claims (18, 19)
-
-
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:
-
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 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.
-
Specification