Self correcting online reputation

• US 8,615,440 B2
• Filed: 12/08/2006
• Issued: 12/24/2013
• Est. Priority Date: 07/12/2006
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Sundaresan, Neelakantan
• Primary Examiner(s): ZURITA, JAMES H
• Application Number:
  US11/635,894
• Publication Number:
  US 20080015925A1
• Time in Patent Office: 2,573 Days
• Field of Search: 705/26, 705/37, 705/26.1, 705/27.1
• US Class Current: 705/26.1
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/01 Customer relationship services
• CPC Class Codes: G06Q 30/06 Buying, selling or leasing transactions

Abstract

A system to determine a first reputation value for a first user associated with a transaction with a second user first determines a weighted value based on one or more user transaction attributes. The user transaction attributes may be associated with at least one of the first user and the second user. Next the system calculates the first reputation value for the first user as a function of a first current reputation value of the first user and the weighted value.

Claims

1. A method comprising:

completing a transaction between a first user and a second user;

receiving a first feedback indicator from the first user and a second feedback indicator from the second user;

associating the first feedback indicator and the second feedback indicator with the transaction;

determining, using one or more processors, a weighted value based on one or more transaction attributes, the one or more transaction attributes associated with at least one of the first user and the second user and including the first feedback indicator and the second feedback indicator; and

calculating a first reputation value for the first user as a function of a first current reputation value of the first user and the weighted value.

2. The method of claim 1, including calculating a second reputation value for the second user based on a second current reputation value of the second user and the weighted value.

3. The method of claim 1, wherein the transaction attributes include a transaction value, the transaction value being associated with the transaction.

4. The method of claim 3, wherein the transaction value is determined based upon the first current reputation value of the first user, and a second current reputation value of the second user.

5. The method of claim 1, wherein the weighted value is based on at least one transaction attribute from the one or more transaction attributes including a first user reputation value, a transaction value, prior transaction values associated with the first user, prior transaction values associated with the second user, a number of prior transactions of the first user, number of prior transactions of the second user, group association of the first user, a community participation value associated with the first user, an imported reputation value of the first user, group association of the second user, community participation of the second user, an imported reputation value of the second user, and a category of transaction.

6. The method of claim 1, wherein the weighted value is based on one or more transaction attributes of one or more other users, the other users being associated with the transaction.

7. The method of claim 1, wherein the transaction attributes includes a price.

8. A system to determine a first reputation value for a first user associated with a transaction, the system comprising:

a processor; and

a memory including instructions, which when executed by the processor, cause the processor to perform operations comprising;

receiving a first feedback indicator from the first user and a second feedback indicator from a second user, the second user associated with the transaction;

associating the first feedback indicator and the second feedback indicator with the transaction;

determining a weighted value based on one or more transaction attributes, the one or more transaction attributes associated with at least one of the first user and the second user, and including the first feedback indicator and the second feedback indicator; and

calculating the first reputation value for the first user as a function of a first current reputation value of the first user and the weighted value.

9. The system of claim 8, wherein the operations further comprise calculating a second reputation value for the second user as a function of a second current reputation value of the second user and the weighted value.

10. The system of claim 8, wherein the transaction attributes include a transaction value, the transaction value being associated with the transaction.

11. The system of claim 10, wherein the transaction value is determined based on a function of the first current reputation value of the first user, and a second current reputation value of the second user.

12. The system of claim 8, wherein the transaction attributes comprise at least one of:

a first user reputation value, a transaction value, prior transaction values associated with the first user, prior transaction values associated with the second user, number of prior transactions of the first user, a number of prior transactions of the second user, group association of the first user, a community participation value associated with the first user, an imported reputation value of the first user, group association of the second user, community participation of the second user, an imported reputation value of the second user, and a category of transaction.

13. The system of claim 8, wherein the calculation of the weighted value is based on one or more transaction attributes of one or more other users, the other users associated with the transaction.

14. The system of claim 8, wherein the transaction attributes includes a price.

15. A non-transitory machine-readable medium that includes instructions which when executed by a machine, cause the machine to perform operations comprising:

receiving a first feedback indicator from a first user and a second feedback indicator from a second user;

associating the first and second feedback indicators with a transaction completed between the first user and the second user;

determining a weighted value based on one or more transaction attributes, the one or more transaction attributes associated with at least one of the first user and the second user, and including the first feedback indicator and the second feedback indicator; and

calculating a first reputation value for the first user as a function of a first current reputation value of the first user and the weighted value.

16. The machine-readable medium of claim 15, wherein the instructions cause the machine to perform the operations of calculating a second reputation value for the second user based on a second current reputation value of the second user and the weighted value.

17. The machine-readable medium of claim 15, wherein the transaction attributes include a transaction value, the transaction value being associated with the transaction.

18. The machine-readable medium of claim 17, wherein the transaction value is determined based upon the first current reputation value, and a second current reputation value of the second user.

19. The machine-readable medium of claim 15, wherein the weighted value is based on at least one transaction attribute from the one or more transaction attributes including a first user reputation value, a transaction value, prior transaction values associated with the first user, prior transaction values associated with the second user, a number of prior transactions of the first user, number of prior transactions of the second user, group association of the first user, a community participation value associated with the first user, an imported reputation value of the first user, group association of the second user, community participation of the second user, an imported reputation value of the second user, and a category of transaction.

20. The machine-readable medium of claim 15, wherein the weighted value is based on one or more transaction attributes of one or more other users, the other users being associated with the transaction.