IP Library Granted Patent US 9,595,052
Granted Patent B2
US 9,595,052 · App. 14/968,569 · Granted Mar 14, 2017

Using behavioral data in rating user reputation

Inventors: Wisam G. Daoud (San Mateo, CA); Sarika Krishnan (San Jose, CA); Rishikesh Tembe (San Francisco, CA)
Assignee: eBay Inc.
G06Q30/0282G06F17/3053G06F17/30528G06F17/30554G06F17/30867G06Q30/02
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Quick Facts
Patent No.
US 9,595,052
App. No.
14/968,569
Granted
Mar 14, 2017
Kind
B2
Abstract

In a system and method for using user behavior and interaction data to rate a reputation of a user, a processor-implemented tracking component tracks an interaction of a user with a network-based publisher. A processor-implemented reputation component generates a reputation value for the user from the tracked user interaction.

Claims (56)

1. A system comprising:

a processor and executable instructions accessible on a computer-readable medium that, when executed, cause the processor to perform operations comprising:

determine an elapsed amount of time between an occurrence of a transaction of an item available for sale via a network-based publisher and a response by a seller to the occurrence of the transaction of the item by tracking data received from a third party shipping service that indicates the elapsed amount of time;

receive a feedback rating from a buyer, the feedback rating being directed to a performance of the seller in the transaction of the item available for sale via the network-based publisher;

adjust the received feedback rating based on the determined elapsed amount of time between the occurrence of the transaction of the item available for sale via the network-based publisher and the response by the seller to the occurrence of the transaction; and

generate a reputation value of the seller based on the adjusted feedback rating.

2. The system of claim 1 , wherein the operations further comprise:

receive data that indicates user interaction with the network-based publisher, the data including the elapsed amount of time;

classify the data as belonging to an item category of the item available for sale via the network-based publisher; and

store the classified data into a database.

3. The system of claim 2 , wherein the generated reputation value of the seller corresponds to the item category of the item available for sale.

4. The system of claim 1 , wherein the operations further comprise:

determine a frequency at which the seller accesses a website operated by the network-based publisher; and

adjust the received feedback rating further based on the determined frequency at which the seller accesses the website operated by the network-based publisher.

5. The system of claim 4 , wherein the adjustment of the feedback rating based on the determined elapsed amount of time is greater than the adjustment of the feedback rating based on the determined frequency.

6. The system of claim 1 , wherein the operations further comprise:

receive a request from an external third party system via an application programming interface (API), the request being for the generated reputation value; and

provide the generated reputation value to the external third party system via the application programming interface (API).

7. The system of claim 1 , wherein the operations further comprise:

determine a number of items listed by the seller over the network-based publisher; and

adjust the received feedback rating based on the determined number of items listed by the seller.

8. The system of claim 1 , wherein:

the operations further comprise receive an amount of time from when the shipping label for the item is scanned to when the item is delivered from a third party shipping service; and

the elapsed amount of time indicates the amount of time from when a shipping label for the item is scanned to when the item is delivered.

9. The system of claim 1 , wherein the operations further comprise:

receive a further feedback rating from the seller, the feedback rating being directed to a performance of the buyer in the transaction of the item available for sale via the network-based publisher;

adjust the further feedback rating based on interactions of the buyer with the network-based publisher; and

generate a reputation value of the buyer based on the further feedback rating.

10. A method comprising:

determining an elapsed amount of time between an occurrence of a transaction of an item available for sale via a network-based publisher and a response by a seller to the occurrence of the transaction of the item by tracking data received from a third party shipping service that indicates the elapsed amount of time;

receiving a feedback rating from a buyer, the feedback rating being directed to a performance of the seller in the transaction of the item available for sale via the network-based publisher;

adjusting, using one or more processors, the received feedback rating based on the determined elapsed amount of time between the occurrence of the transaction of the item available for sale via the network-based publisher and the response by the seller to the occurrence of the transaction; and

generating a reputation value of the seller based on the adjusted feedback rating.

11. The method of claim 10 , further comprising:

receiving data that indicates user interaction with the network-based publisher, the data including the elapsed amount of time;

classifying the data as belonging to an item category of the item available for sale via the network-based publisher; and

storing the classified data into a database.

12. The method of claim 11 , wherein the generated reputation value of the seller corresponds to the item category of the item available for sale.

13. The method of claim 10 , further comprising:

determining a frequency at which the seller accesses a website operated by the network-based publisher; and

adjusting the received feedback rating further based on the determined frequency at which the seller accesses the website operated by the network-based publisher.

14. The method of claim 13 , wherein the adjustment of the feedback rating based on the determined elapsed amount of time is greater than the adjustment of the feedback rating based on the determined frequency.

15. The method of claim 10 , further comprising:

receiving a request from an external third party system via an application programming interface (API), the request being for the generated reputation value; and

providing the generated reputation value to the external third party system via the application programming interface (API).

16. The method of claim 10 , further comprising:

determining a number of items listed by the seller over the network-based publisher; and

adjusting the received feedback rating based on the determined number of items listed by the seller.

17. The method of claim 10 , wherein:

the method further comprises receiving an amount of time from when the shipping label for the item is scanned to when the item is delivered from a third party shipping service; and

the elapsed amount of time indicates the amount of time from when a shipping label for the item is scanned to when the item is delivered.

18. Anon-transitory machine-readable medium storing instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

determining an elapsed amount of time between an occurrence of a transaction of an item available for sale via a network-based publisher and a response by a seller to the occurrence of the transaction of the item by tracking data received from a third party shipping service that indicates the elapsed amount of time;

receiving a feedback rating from a buyer, the feedback rating being directed to a performance of the seller in the transaction of the item available for sale via the network-based publisher;

adjusting the received feedback rating based on the determined elapsed amount of time between the occurrence of the transaction of the item available for sale via the network-based publisher and the response by the seller to the occurrence of the transaction; and

generating a reputation value of the seller based on the adjusted feedback rating.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 14, 2015
From: DAOUD, WISAM; KRISHNAN, SARIKA; TEMBE, RISHIKESH
To: EBAY INC.
Reel/Frame 037287/0226 →
Continuity (2)
Continuation 12945637 · Nov 12, 2010
Related Publication 20160098767A1 · Apr 7, 2016