Multi-Source, Multi-Dimensional, Cross-Entity, Multimedia Centralized Personal Information Database Platform Apparatuses, Methods and Systems

• US 20170235786A9
• Filed: 02/04/2013
• Published: 08/17/2017
• Est. Priority Date: 02/02/2012
• Status: Active Grant

• Current Assignee: Visa International Service Association (Visa, Inc.)
• Original Assignee: Visa International Service Association (Visa, Inc.)
• Inventors: Harris, Theodore David, Faith, Patrick
• Granted Patent: US 10,430,381 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/164 File meta data generation
• CPC Class Codes: G06F 16/2379 Updates performed during online database operations; commit processing
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/9024 Graphs; Linked lists G06F16/9027 takes precedence
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0643 Graphical representation of items or shoppers
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 99/00 Subject matter not provided for in other groups of this subclass

Abstract

THE MULTI-SOURCE, MULTI-DIMENSIONAL, CROSS-ENTITY, MULTIMEDIA CENTRALIZED PERSONAL INFORMATION DATABASE PLATFORM APPARATUSES, METHODS AND SYSTEMS (“CPDB”) transform data aggregated from various computer resources using CPDB components into updated entity profiles and/or social graphs. In one implementation, the CPDB aggregates data records including search results, purchase transaction data, service usage data, service enrollment data, and social data. The CPDB identifies data field types within the data records and their associated data values. From the data field types and their associated data values, the CPDB identifies an entity. The CPDB generates correlations of the entity to other entities identifiable from the data field types and their associated data values. The CPDB also associates attributes to the entity by drawing inferences related to the entity from the data field types and their associated data values. Using the generated correlations and associated attributes, the CPDB generates an updated profile and social graph of the entity. The CPDB provides the updated profile and social graph for an automated web form filling request.

Claims

1. A centralized personal information platform processor-implemented method for enhancing transaction speed through the reduction of user input data transfer requirements, comprising:

aggregating data records from a plurality of content sources;

querying a data aggregation database for at least one data aggregation normalization template corresponding to the aggregated data records;

determining at least one data field type in the aggregated data records using the at least one data aggregation normalization template;

identifying at least one entity in the aggregated data records using the at least one data field type and associated field data values;

generating an updated distributed linking node mesh database; and

providing the distributed linking node mesh database for searching.

2. The method of claim 1, wherein the content source is search results.

3. The method of claim 1, wherein the content source is purchase transaction data.

4. The method of claim 1, wherein the content source is service usage data.

5. The method of claim 1, wherein the content source is service enrollment data.

6. The method of claim 1, wherein the content source is email data.

7. The method of claim 1, wherein the content is social data.

8. The method of claim 1, additionally comprising:

querying a dictionary database to determine a dictionary short-hashing template corresponding to the aggregated data records; and

applying the dictionary short-hashing template to the aggregated data records.

9. The method of claim 8, wherein applying the dictionary short-hashing template to the aggregated data records includes storing the result in a distributed dictionary lookup mesh.

10. The method of claim 9, additionally comprising:

generating a key containing a plurality of identified fields in the aggregated data records.

11. The method of claim 10, additionally comprising:

storing a modified version of the aggregated data records in the distributed dictionary lookup mesh.

13. The method of claim 1, additionally comprising:

extracting a logic procedure from the at least one data aggregation normalization template.

14. The method of claim 13, additionally comprising:

executing the logic procedure on the aggregated data records.

15. The method of claim 1, wherein generating an updated distributed linking node mesh database includes identifying a deduced entity not present in the distributed linking node mesh database.

16. The method of claim 15, wherein the deduced entity is a product.

17. The method of claim 15, wherein the deduced entity is an item for sale.

18. The method of claim 15, wherein the deduced entity is a user preference to engage in transactions during time periods.

19. The method of claim 15, wherein the deduced entity is a user'"'"'s affinity for a product type.

12. The method of claim 12, wherein the modified version of the aggregated data records is associated with the key containing a plurality of identified fields in the aggregated data records.

20. A centralized personal information platform processor-implemented method for enhancing transaction speed through the reduction of user input data transfer requirements, comprising:

aggregating data records including search results, purchase transaction data, service usage data, service enrollment data, email data and social data;

querying a dictionary database to determine a dictionary short-hashing template corresponding to the aggregated data records;

applying the dictionary short-hashing template to the aggregated data records and storing the result in a distributed dictionary lookup mesh, wherein applying the dictionary short-hashing template includes a reduction in the storage space required by the aggregated data records and the generation of a key containing a plurality of identified fields in the aggregated data records;

querying a data aggregation database for at least one data aggregation normalization template corresponding to the aggregated data records;

extracting a logic procedure from the at least one data aggregation normalization template;

executing the logic procedure on the aggregated data records;

determining at least one data field type in the aggregated data records matching the at least one data aggregation normalization template;

identifying at least one entity from the at least one data field type and associated field data values;

associating, via the processor, attributes to the at least one entity by applying inference rules to the at least one data field type and the associated data values;

generating an updated profile and social graph of the at least one entity using the associated attributes;

updating a distributed linking node mesh database using the at least one entity; and

providing the updated distributed linking node mesh database for an automated web form filling request.