GLOBAL CONDUCT SCORE AND ATTRIBUTE DATA UTILIZATION

• US 20090125349A1
• Filed: 12/10/2007
• Published: 05/14/2009
• Est. Priority Date: 11/09/2007
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Olliphant, Hugo, Phillips, Brian Andrew, Lee, George, Patil, Dhanurjay A.S., Pritchett, Daniel L., Murphy, Timothy M.
• Granted Patent: US 8,204,840 B2
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes

Abstract

In one embodiment, a system and method is illustrated as including generating a model using at least one of a global conduct score and attribute data. A range of numeric values may be retrieved, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction. A comparison may be made between the model and the range of numeric values. Further, a better term may be granted in the transaction where the model falls within the range of numeric values. The global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach. The attribute data includes page view data, click through data, account usage data, and good purchased data. The model includes a global conduct score model, a weighting model, an AI based model, and an associated network based model.

Claims

1. A computer implemented method comprising:

generating a model using at least one of a global conduct score and attribute data;

retrieving a range of numeric values, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction;

comparing the model and the range of numeric values; and

granting the better term in the transaction where the model falls within the range of numeric values.

2. The computer implemented method of claim 1, wherein the global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach.

3. The computer implemented method of claim 1, wherein the attribute data includes page view data, click through data, account usage data, and good purchased data.

4. The computer implemented method of claim 1, wherein the model includes a global conduct score model, a weighting model, an Artificial Intelligence (AI) based model, and an associated network based model.

5. The computer implemented method of claim 4, wherein the AI based model includes at least one of a Decision Tree, a Fuzzy Associative Matrix, Statistical Clusters, K-Means, Random Forests, and Markov Processes.

6. The computer implemented method of claim 1, where the range of numeric values includes at least one of a global conduct score and attribute model, range data, and an associated network range score.

7. The computer implemented method of claim 1, wherein the better term is more economically advantageous to a party to the transaction, as compared to another possible term.

8. The computer implemented method of claim 7, further comprising granting a worse term that is less economically advantageous to a party to the transaction than would otherwise be granted.

9. A computer implemented method comprising:

receiving and storing an alert parameter from a member of a network;

receiving an update from another member of the network, the update including at least one of a global conduct score, and attribute data relating to a transaction;

retrieving the alert parameter, and determining whether the alert parameter has been exceeded by at least one of the global conduct score and the attribute data included within the update; and

transmitting an alert, where the alert parameter has been exceeded.

10. The computer implemented method of claim 9, wherein the alert parameter includes at least one of a global conduct score model that defines a first range of values, a global conduct score and attribute model that defines a second range of values, and range data defining a third range of values.

11. The computer implemented method of claim 9, further comprising computing the global conduct score using an approach including at least one of a feed score approach, and a composite score approach.

12. The computer implemented method of claim 9, wherein the attribute data includes page view data, click through data, account usage data, and good purchased data.

13. The computer implemented method of claim 9, further comprising:

receiving a data request with a data identifier, the data request including at least one of a request relating to global conduct score, and a request relating to attribute data;

using the data identifier to determine the existence of a privilege to access data identified by the data request, the data including at least one of data in the form of a global conduct score, and data in the form of attribute data;

retrieving the data where the privilege to access data identified by the data request exists; and

transmitting the data as at least one data packet.

14. A computer system comprising:

a model generator to generate a model using at least one of a global conduct score and attribute data;

a range retriever to retrieve a range of numeric values, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction;

a comparison engine to compare the model and the range of numeric values; and

a first term grantor to grant the better term in the transaction where the model falls within the range of numeric values.

15. The computer system of claim 14, wherein the global conduct score is computed using an approach including at least one of a feed score approach, and a composite score approach.

16. The computer system of claim 14, where the range of numeric values includes at least one of a global conduct score and attribute model, range data, and an associated network range score.

17. The computer system of claim 14, wherein the better term is more economically advantageous to a party to the transaction, as compared to another possible term.

18. The computer system of claim 17, further comprising a second term grantor to grant a worse term that is less economically advantageous to a party to the transaction than would otherwise be granted.

19. The computer system of claim 14, further comprising:

a first receiver to receive and storing an alert parameter from a member of a network;

a second receiver to receive an update from another member of the network, the update including at least one of a global conduct score, and attribute data relating to a transaction;

a retriever to retrieve the alert parameter, and determining whether the alert parameter has been exceeded by at least one of the global conduct score and the attribute data included within the update; and

a transmitter to transmit an alert, where the alert parameter has been exceeded.

20. The computer system of claim 19, wherein the alert parameter includes at least one of a global conduct score model that defines a first range of values, a global conduct score and attribute model that defines a second range of values, and range data defining a third range of values.

21. The computer system of claim 19, further comprising a calculator to compute the global conduct score using an approach including at least one of a feed score approach, and a composite score approach.

22. The computer system of claim 19, wherein the attribute data includes page view data, click through data, account usage data, and good purchased data.

23. The computer system of claim 14, further comprising:

a receiver to receive a data request with a data identifier, the data request including at least one of a request relating to global conduct score, and a request relating to attribute data;

a determiner engine to determine to use the data identifier to determine the existence of a privilege to access data identified by the data request, the data including at least one of data in the form of a global conduct score, and data in the form of attribute data;

a retriever to retrieve the data where the privilege to access data identified by the data request exists; and

a transmitter to transmit the data as at least one data packet.

24. An apparatus comprising:

means for generating a model using at least one of a global conduct score and attribute data;

means for retrieving a range of numeric values, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction;

means for comparing the model and the range of numeric values; and

means for granting the better term in the transaction where the model falls within the range of numeric values.

25. A machine-readable medium comprising instructions, which when implemented by one or more machines, cause the one or more machines to perform the following operations:

generating a model using at least one of a global conduct score and attribute data;

retrieving a range of numeric values, based upon which, a better term is granted in a transaction than would otherwise be granted in the transaction;

comparing the model and the range of numeric values; and

granting the better term in the transaction where the model falls within the range of numeric values.