METHODS AND SYSTEMS FOR TRANSFORMING MULTIPLE DATA STREAMS INTO SOCIAL SCORING AND INTELLIGENCE ON INDIVIDUALS AND GROUPS

• US 20140089334A1
• Filed: 03/15/2013
• Published: 03/27/2014
• Est. Priority Date: 09/24/2012
• Status: Active Grant

• Current Assignee: Jungotv LLC
• Original Assignee: Reunify
• Inventors: Adibi, Jafar, Fullman, Edward, Fullman, Joseph, Robertson, Patrick, Fullman, Elena, Ettelaie, Emil, Kwon, Namhee
• Granted Patent: US 9,594,810 B2
• Time in Patent Office: Days
• US Class Current: 707/758
• CPC Class Codes: G06F 16/2465 Query processing support for facilitating data mining operations in structured databases
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A system, method and computer program product for determining and identifying a highly accurate description of an entity, including discovering hidden attributes, features, characteristics, behaviors, and opinions of an entity; and identifying the entity through processing, summarizing, abstracting, generalizing, discovering, and inferring information from a plurality of databases including publicly available data, private purchased data, private data provided by others, and derived data from public or private data.

Claims

1. A computer implemented system for determining and identifying a highly accurate description of an entity, the system comprising:

the system configured for discovering hidden attributes, features, characteristics, behaviors, and opinions of an entity; and

the system configured to identify the entity through processing, summarizing, abstracting, generalizing, discovering, and inferring information from a plurality of databases including publicly available data, private purchased data, private data provided by others, and derived data from public or private data.

2. The system of claim 1, wherein system is configured to align online and offline social graphs with consumer psychographic research data for optimizing offers and communications at a point of contact on a web sites, a mobile or social application, a call center, and a points-of-sale.

3. The system of claim 1, wherein system is configured to combine publicly available data for the entity with private data provided by a user, an individual or an organization.

4. The system of claim 1, wherein system is configured to abstract, represent, cluster and illustrate data points including an entity interest, feature, and opinion in based on soft or hard numbers and baskets of demographics and psychographics.

5. The system of claim 1, wherein system is configured to build a profile for the entity based on combination of data standardization, field approximation, field matching, and linking profiles.

6. A method for a computer implemented system for determining and identifying a highly accurate description of an entity, the method comprising:

discovering with the system hidden attributes, features, characteristics, behaviors, and opinions of an entity; and

identifying with the system the entity through processing, summarizing, abstracting, generalizing, discovering, and inferring information from a plurality of databases including publicly available data, private purchased data, private data provided by others, and derived data from public or private data.

7. The method of claim 6, further comprising aligning with the system online and offline social graphs with consumer psychographic research data for optimizing offers and communications at a point of contact on a web sites, a mobile or social application, a call center, and a points-of-sale.

8. The method of claim 6, further comprising combining with the system publicly available data for the entity with private data provided by a user, an individual or an organization.

9. The method of claim 6, further comprising abstracting, representing, clustering and illustrating data points with the system including as an entity interest, feature, and opinion in based on soft or hard numbers and baskets of demographics and psychographics.

10. The method of claim 6, further comprising build with the system a profile for the entity based on combination of data standardization, field approximation, field matching, and linking profiles.

11. A computer program product for a computer implemented system for determining and identifying a highly accurate description of an entity, and including one or more computer readable instructions embedded on a non-transitory, tangible computer readable medium and configured to cause one or more computer processors to perform the steps of:

discovering with the system hidden attributes, features, characteristics, behaviors, and opinions of an entity; and

identifying with the system the entity through processing, summarizing, abstracting, generalizing, discovering, and inferring information from a plurality of databases including publicly available data, private purchased data, private data provided by others, and derived data from public or private data.

12. The computer program product of claim 11, further comprising aligning with the system online and offline social graphs with consumer psychographic research data for optimizing offers and communications at a point of contact on a web sites, a mobile or social application, a call center, and a points-of-sale.

13. The computer program product of claim 11, further comprising combining with the system publicly available data for the entity with private data provided by a user, an individual or an organization.

14. The computer program product of claim 11, further comprising abstracting, representing, clustering and illustrating data points with the system including as an entity interest, feature, and opinion in based on soft or hard numbers and baskets of demographics and psychographics.

15. The computer program product of claim 11, further comprising build with the system a profile for the entity based on combination of data standardization, field approximation, field matching, and linking profiles.