Method and system for capturing and calculating complex consumer ratings of goods and services

• US 20060190961A1
• Filed: 09/30/2005
• Published: 08/24/2006
• Est. Priority Date: 02/24/2005
• Status: Active Grant

• Current Assignee: Deem, Incorporated (Jack Taylor Family Voting Trust U A D 4 14 99)
• Original Assignee: Rearden Commerce Inc
• Inventors: Handel, Sean, Chakravarthy, Sriram
• Granted Patent: US 7,801,760 B2
• Time in Patent Office: Days
• US Class Current: 725/24
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

Method and system for capturing and calculating complex consumer ratings of goods and services, which in one embodiment comprises receiving from a user a request for a rating of goods or services; and presenting to the user a rating for the goods or services, the rating based on ratings provided by one or more reviewers having demographic features matching demographic features of the user.

Claims

1. ) A method comprising:

Receiving from a user a request for a rating of goods or services; and

Presenting to the user a rating for the goods or services, the rating based on ratings provided by one or more reviewers having demographic features matching demographic features of the user.

2. ) The method of claim 1, further comprising, in response to not having previously obtained demographic data related to the user, presenting to the user one or more ratings for the goods or services exclusive of considering demographic features of the user or the reviewers.

3. ) The method of claim 2, further comprising, in response to not having previously obtained demographic data related to the user, presenting to the user an average rating of the goods or services.

4. ) The method of claim 1, wherein the matching of the demographic features of the user and the demographic features of one or more reviewers is to be based on a predetermined criteria.

5. ) The method of claim 2, wherein the demographic data of the user is to be provided separately from the request for the rating of the goods and services, and a demographic ID corresponding to the user is to be submitted with the request for the rating of the goods and services and the demographic ID is used to match demographic features of the user with demographic features of the one or more reviewers.

6. ) The method of claim 1, further comprising presenting to the user one or more a ratings for the goods or services exclusive of considering demographic features of the user or the reviewers.

7. ) The method of claim 1, further comprising presenting to the user a rating of the goods or services comprising of an average of ratings for the goods or services as previously provided by reviewers.

8. ) The method of claim 1, further comprising presenting an option to the user to change demographic features corresponding to the user.

9. ) The method of claim 8, further comprising presenting an option to the user to change pre-selected weights on different demographic features.

10. ) The method of claim 1, wherein the demographic features comprise one or more of income data, education data, family data, and personal interest data.

11. ) A machine readable medium having stored thereon a set of instructions which when executed perform a method comprising of:

Receiving from a user a request for a rating of goods or services; and

Presenting to the user a rating for the goods or services, the rating based on ratings provided by one or more reviewers having demographic features matching demographic features of the user.

12. ) The machine readable medium of claim 11, further comprising, in response to not having previously obtained demographic data related to the user, presenting to the user one or more a ratings for the goods or services exclusive of considering demographic features of the user or the reviewers.

13. ) The machine readable medium of claim 12, further comprising, in response to not having previously obtained demographic data related to the user, presenting to the user an average rating of the goods or services.

14. ) The machine readable medium of claim 11, wherein the matching of the demographic features of the user and the demographic features of one or more reviewers is to be based on a predetermined criteria.

15. ) The machine readable medium of claim 12, wherein the demographic data of the user is to be provided separately from the request for the rating of the goods and services, and a demographic ID corresponding to the user is to be submitted with the request for the rating of the goods and services and the demographic ID is used to match demographic features of the user with demographic features of the one or more reviewers.

16. ) A system comprising of:

A means for receiving from a user a request for a rating of goods or services; and

A means for presenting to the user a rating for the goods or services, the rating based on ratings provided by one or more reviewers having demographic features matching demographic features of the user.

17. ) The system of claim 16, further comprising a means for presenting to the user one or more ratings for the goods or services exclusive of considering demographic features of the user or the reviewers, in response to not having previously obtained demographic data related to the user.

18. ) The system of claim 17, further comprising, a means for presenting to the user an average rating of the goods or services, in response to not having previously obtained demographic data related to the user.

19. ) The system of claim 16, wherein the matching of the demographic features of the user and the demographic features of one or more reviewers is to be based on a predetermined criteria.

20. ) The system of claim 17, wherein the demographic data of the user is to be provided separately from the request for the rating of the goods and services, and a demographic ID corresponding to the user is to be submitted with the request for the rating of the goods and services and the demographic ID is to be used to match demographic features of the user with demographic features of the one or more reviewers.