METHOD AND SYSTEM FOR COMPUTERIZED SEARCHING AND MATCHING USING EMOTIONAL PREFERENCE

• US 20090125814A1
• Filed: 01/15/2009
• Published: 05/14/2009
• Est. Priority Date: 03/31/2006
• Status: Active Grant

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: Imagini Holdings Limited
• Inventors: WILLCOCK, Alex
• Granted Patent: US 8,751,430 B2
• Time in Patent Office: Days
• US Class Current: 715/738
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: Y10S 707/99934 Query formulation, input preparation, or translation

Abstract

A method and system for capturing emotional preference of human subjects, generating machine-readable emotional code and using the code to optimize computerized searching and matching operations between entities is disclosed. The entity can be a human user, a product, or a service. The emotional code can thus be a universal language expressing human emotion that communicates among entities. After understanding the sending parties'"'"' emotional profile, the receiving party can adapt its operation to achieve more optimum results.

Claims

1. A method of filtering irrelevant items from a search operation using machine-readable emotional codes between a search entity having a search entity emotional code and a plurality of database entities, each of said database entities having an entity emotional code, said emotional codes being category labels out of a plurality of categories, said plurality of categories generated by categorizing user responses, said user responses captured when said user selects items from a plurality of choices, said selection revealing said user'"'"'s emotional preferences, said method comprising the steps of:

obtaining said search entity from an operator who conducts said search operation on a first computer;

using said search entity emotional code to define a peripheral region;

connecting to a database on a second computer that comprises said plurality of database entities;

retrieving a plurality of matched database entities, each of said matched database entities having an emotional code falling within said peripheral region; and

presenting said plurality of matched database entities to said operator.

2. The method according to claim 1 wherein said first computer and said second computer are the same computer.

3. The method according to claim 1, wherein said search entity emotional code is associated with a cluster comprising a cluster mean and a cluster variance, and said peripheral region is centered at said cluster mean and having a radius of said cluster variance multiplied by a proportional constant.

4. The method according to claim 3, wherein said radius of said peripheral region is user-selectable by moving a cursor on a display screen of said first computer along a sliding bar between a first end and an opposed second end on said screen, wherein said first end of said sliding bar means a larger radius that corresponds to a larger peripheral region, while said second end of said sliding bar means a smaller radius that corresponds to a smaller peripheral region.

5. The method according to claim 1, wherein said search entity emotional code is stored at said first computer system in the form of a ‘

cookie file’

that can be accessed by a web browser.

6. The method according to claim 5, wherein said search entity has an authority to enable or not enable said ‘

cookie file’

to be accessible.

7. The method according to claim 1, wherein said emotional code comprises a plurality of emotional code segments, each said emotional code segment corresponding to a unique domain, said method further comprising the steps of:

identifying at least one domain that is relevant to said search operation; and

checking if said emotional code segment in said at least one domain is present in said search entity emotional code;

wherein if at least one said emotional code segment in said at least one domain is checked to be absent, an emotional code segment is assigned to said corresponding domain of said search entity according to said search entity'"'"'s category.

8. The method according to claim 7, wherein said emotional code segment assigned to said corresponding domain of said search entity is the most popular emotional code segment in said search entity'"'"'s category.

9. The method according to claim 1, wherein said search entity and each said database entity is a consumer, a product or a service.

10. A method of filtering irrelevant items from a match operation using machine-readable emotional codes between a match entity having a match entity emotional code and a plurality of database entities, each of said database entities having an entity emotional code, said emotional codes being category labels out of a plurality of categories, said plurality of categories generated by categorizing user responses, said user responses captured when said user selects items from a plurality of choices, said selection revealing said user'"'"'s emotional preferences, said method comprising the steps of:

obtaining said match entity from an operator who conducts said match operation on a first computer;

connecting to a database on a second computer that comprises a plurality of database entities;

retrieving a plurality of matched database entities, each said matched database entity having an emotional code identical to said match entity emotional code; and

presenting said plurality of matched database entities to said operator.

11. The method according to claim 10, wherein said match entity emotional code is stored at said match entity'"'"'s system in the form of a ‘

cookie file’

that can be accessed by a web browser.

12. The method according to claim 11, wherein said match entity has an authority to enable or not enable said ‘

cookie file’

to be accessible.

13. The method according to claim 10, wherein said emotional code comprises a plurality of emotional code segments, each said emotional code segment corresponding to a unique domain, said method further comprising the steps of:

identifying at least one domain that is relevant to said match operation; and

checking if said emotional code segment in said at least one domain is present in said match entity emotional code;

wherein if at least one said emotional code segment in said at least one domain is checked to be absent, an emotional code segment is assigned to said corresponding domain of said match entity according to said match entity'"'"'s category.

14. The method according to claim 13, wherein said emotional code segment assigned to said corresponding domain of said match entity is a most popular emotional code segment in said match entity'"'"'s category.

15. The method according to claim 10, wherein said match entity and each said database entity is a consumer, a product or a service.

16. A system for filtering irrelevant items using machine-readable emotional codes from a plurality of database entities, each of said database entities having an entity emotional code, said emotional codes being category labels out of a plurality of categories, said plurality of categories generated by categorizing user responses, said user responses captured when said user selects items from a plurality of choices, said selection revealing said user'"'"'s emotional preferences, comprising:

a first computer, said first computer comprising a display; and

a second computer, said second computer comprising a database, said database comprising a plurality of database entities;

wherein an operator defines a search entity to be compared against said plurality of database entities in said second computer, said comparison done in a third computer, said comparison compares an emotional code of said search entity and said plurality of database entities and presents the database entities that lies within a peripheral region of said search entity to said operator on first computer.

17. The system according to claim 16, wherein a size of said peripheral region is selectable by said operator by moving a cursor along a sliding bar on said display of said first computer, a first end of said sliding bar corresponds to a larger peripheral region and an opposed end of said sliding bar corresponds to a smaller peripheral region.

18. The system according to claim 16, wherein said database entities and said search entity is a user, a product or a service.

19. The system according to claim 16, wherein said first computer and third computer are the same computer.

20. The system according to claim 16, wherein said display further comprises a text box for entering textual criteria for said filtering system.