Credit Risk Control

• US 20120030091A1
• Filed: 08/19/2009
• Published: 02/02/2012
• Est. Priority Date: 08/19/2008
• Status: Abandoned Application

• Current Assignee: Alibaba Group Holding Ltd.
• Original Assignee: Alibaba Group Holding Ltd.
• Inventors: Hu, Xiaoming, Gao, Jing, Li, Feng, Zhang, Zhengwei, Lv, Weiyan, Zhang, Xiuyun
• Application Number:
  US12/600,978
• Publication Number:
  US 20120030091A1
• Time in Patent Office: Days
• US Class Current: 705/38
• CPC Class Codes: G06Q 40/02 Banking, e.g. interest calculation or account maintenance credit or loans G06Q40/03
• CPC Class Codes: G06Q 40/03 Credit; Loans; Processing thereof
• CPC Class Codes: G06Q 40/08 Insurance

Abstract

A method and a system of credit risk control use different incentive mechanisms for different type of users for post-loan credit risk control. The method classifies the user to one of several different user types based on the user information and a correspondence relationship between the user information and risk levels, and selects an appropriate incentive mechanism for risk control based on the user type. The incentive mechanisms may either be a positive incentive mechanism or a negative incentive mechanism depending on the user type. The incentive mechanisms are performed over a network, and are designed to encourage a user of good loan payment record but to discourage a user of bad loan payment record. The method and the system are particularly suited for risk control of repayment of various kinds of loans which are applied and disbursed over the Internet.

Claims

1. A method of credit risk control, the method comprising:

providing a correspondence relationship between user information and risk levels;

obtaining the user information of a user;

classifying the user to one of a plurality of user types based on the user information and the correspondence relationship between the user information and risk levels;

selecting an incentive mechanism from a plurality of incentive mechanisms for risk control based on the user type, the plurality of incentive mechanisms including a positive incentive mechanism and a negative incentive mechanism; and

performing the selected incentive mechanism over a network.

2. The method as recited in claim 1, wherein the plurality of user types comprises a first user type, a second user type, a third user type, and a fourth user type each associated with a different risk level.

3. The method as recited in claim 2, wherein the first user type is characterized by a good loan payment status, the second user type is characterized by an approaching loan payment due date, the third user type is characterized by a loan payment that is overdue, and the fourth user type is characterized by a loan payment made within a specified time after a bad loan status warning has been issued.

4. The method as recited in claim 2, wherein selecting the incentive mechanism from the plurality of incentive mechanisms for risk control based on the user type comprises:

selecting the positive incentive mechanism for the first user type, and selecting the negative incentive mechanism for one or more of the second user type, the third user type and the fourth user type.

5. The method as recited in claim 1, wherein the positive incentive mechanism comprises:

increasing a credibility index of the user based on user information; and

sending the credibility index to an associated website and an associated bank system.

6. The method as recited in claim 1, wherein the negative incentive mechanism comprises:

promulgating a warning against the user over the network.

7. The method as recited in claim 1, wherein the negative incentive mechanism comprises:

sending a reminder to the present user to repay a loan.

8. The method as recited in claim 1, wherein the negative incentive mechanism comprises:

sending a notice to a related user to inform the related user that the present user has a bad loan record.

9. The method as recited in claim 1, wherein the user holds a financial account with a website, and wherein the negative incentive mechanism comprises:

instructing the website to close the financial account of the user held therein;

sending a bad loan record of the user to the website; and

making the bad loan record of the user available for search by search engines.

10. The method as recited in claim 1, wherein the plurality of incentive mechanisms further comprises a withdrawing mechanism including:

withdrawing an existing public warning of the user.

11. The method as recited in claim 1, wherein the plurality of incentive mechanisms further comprises a withdrawing mechanism including:

deleting a bad record of the user from an associated website; and

promulgating an announcement of withdrawing a public warning of the user.

12. The method as recited in claim 1, wherein obtaining the user information of the user comprises automatically synchronizing the user information held at a credit risk control system with the user information held at an associated website or a financial system.

13. A system of credit risk control, the system comprising a computer having a computer processor and a data storage, the computer processor being programmed to perform the following:

providing a correspondence relationship between user information and risk levels;

obtaining the user information of a user;

classifying the user to one of a plurality of user types based on the user information and the correspondence relationship between the user information and risk levels;

selecting an incentive mechanism from a plurality of incentive mechanisms for risk control based on the user type, the plurality of incentive mechanisms including a positive incentive mechanism and a negative incentive mechanism; and

performing the selected incentive mechanism over a network.

14. The system as recited in claim 13, wherein the computer is a server computer connected to the Internet.

15. The system as recited in claim 13, wherein the user information and the correspondence relationship are stored in the data storage of the system.