Method, medium, and system for processing resource returns

Patent metadata

Field	Value
Publication number	US-9659319-B2
Application number	US-201314056262-A
Country	US
Kind code	B2
Filing date	Oct 17, 2013
Priority date	Oct 19, 2012
Publication date	May 23, 2017
Grant date	May 23, 2017

Abstract

The present disclosure provides a method and an apparatus for processing resource returning. According to the method, as a first user requests for a return of a resource associated with a prior online trade, a trading server determines if the first user has a user rating greater or equal to a preset user rating threshold, and if yes, returns the requested online trading resource to the first user without waiting until a second user has received the corresponding returned goods or services from the first user. The method can expedite the process of returning resources in online trading, and lightens the system burden caused by the user's frequently refreshing the account to check the resource return status.

First claim

What is claimed is:

1. A method for returning trading resources in a way which reduces computer's processing resources, the method comprising:
in association with an online transaction involving a first trading resource being exchanged for a second trading resource, receiving a request from a first user to have the first trading resource returned to the first user in exchange for the first user returning the second trading resource;
acquiring user information of the first user;
determining a user rating of the first user based on the acquired user information;
determining that a user condition of the first user meets a preset user condition criterion, the determining including at least determining that the user rating is greater than or equal to a preset user rating threshold and determining that the first trading resource requested to be returned is smaller than a credit resource of the first user; and
in response to determining that the user condition of the first user meets the preset user condition criterion, returning to the first user the first trading resource prior to the second user receiving the second trading resource that is from the first user.

2. The method of claim 1 , wherein the user information of the first user comprises a behavior parameter of the first user, wherein the behavior parameter includes at least one of a plurality of types including: online shopping records, complaints, records of resource returning, user category, user reviews, and online shopping fraud records.

3. The method of claim 2 , wherein determining the user rating of the first user comprises:
quantifying a score of each type of the behavior parameter using predetermined quantization levels;
obtaining a weighted value of the score of each type of the behavior parameter by multiplying the score with a respective weight factor corresponding to the respective type of the behavior parameter; and
computing the user rating by summing up the weighted value of the score of each type of the behavior parameter.

4. The method of claim 1 , further comprising determining the credit resource of the first user, wherein determining the credit resource of the first user comprises:
determining a user category of the first user based on the user rating, the user category being selected among present user categories; and
obtaining the credit resource of the first user based on the determined user category.

5. The method of claim 1 , wherein determining that the user condition of the first user meets the preset user condition criterion further comprises:
determining an available credit resource of the first user; and
determining that the first trading resource requested to be returned in the request is smaller than the available credit resource of the first user.

6. The method of claim 5 , wherein determining the available credit resource of the first user comprises:
determining a pre-assigned credit resource of the first user;
determining whether a pending request for a preferential return of resource previously requested by the first user exists;
determining an occupied resource caused by the pending request; and
computing the available credit resource by subtracting the occupied resource from the pre-assigned credit resource.

7. The method of claim 1 , wherein the determining that the user condition of the first user meets the preset user condition criterion further comprises determining that the first user is not included in a blacklist for a preferential return of the trading resources.

8. The method of claim 7 , wherein determining that the user condition of the first user meets the preset user condition criterion further comprises determining the credit resource of the first user in response to determining that the first user is not included in the blacklist.

9. The method of claim 7 , further comprising:
compiling the blacklist for the preferential return of the trading resources by combining one or more records of: committing a fraudulent act related to online shopping, being listed in a blacklist of online payment, being listed in a blacklist of online shopping complaints, and being listed in a blacklist of online trading misconduct.

10. The method of claim 1 , further comprising:
receiving a message from the second user indicating bad faith behavior of the first user; and
writing a user identifier of the first user into a blacklist for a preferential return of the trading resources.

11. The method of claim 1 , further comprising:
receiving a message from the second user confirming a preferential return of the first trading resource; and
confirming a successful completion of the request for the preferential return of the first trading resource.

12. The method of claim 1 , wherein determining that the user condition of the first user meets the preset user condition criterion further comprises:
determining a pre-assigned credit resource of the first user;
determining whether a pending request for a preferential return of resource previously requested by the first user exists;
determining an occupied resource caused by the pending request;
determining an available credit resource by subtracting the occupied resource from the pre-assigned credit resource; and
determining that the first trading resource requested to be returned in the request is smaller than the available credit resource of the first user.

13. The method of claim 12 , wherein determining that the user condition of the first user meets the preset user condition criterion further comprises determining that the first user is not included in a blacklist for a preferential return of the trading resources.

14. A system for returning trading resources in a way which reduces computer's processing resources, the system comprising:
one or more processors;
memory storing executable instructions that, when executed by the one or more processors, cause the one or more processors to perform acts comprising;
in association with an online transaction involving a first trading resource being exchanged for a second trading resource, receiving a request from a first user to have the first trading resource returned to the first user in exchange for the first user returning the second trading resource;
acquiring user information of the first user;
determining a user rating of the first user based on the acquired user information;
determining that a user condition of the first user meets a preset user condition criterion, the determining including at least determining that the user rating is greater than or equal to a preset user rating threshold and determining that the first trading resource requested to be returned is smaller than a credit resource of the first user; and
in response to determining that the user condition of the first user meets the preset user condition criterion, returning to the first user the first trading resource prior to the second user receiving the second trading resource that is from the first user.

15. The system of claim 14 , wherein the user information of the first user comprises a behavior parameter of the first user, wherein the behavior parameter includes at least one of a plurality of types including: online shopping records, complaints, records of resource returning, user category, user reviews, and online shopping fraud records.

16. The system of claim 15 , wherein determining the user rating of the first user comprises:
quantifying a score of each type of the behavior parameter using predetermined quantization levels;
obtaining a weighted value of the score of each type of the behavior pa

Assignees

• Alibaba Group Holding Ltd

Inventors

• Yan Shunping
• Lin Qiu

Classifications

• G06Q20/405

  Establishing or using transaction specific rules · CPC title

• G06Q20/12 Primary

  specially adapted for electronic shopping systems · CPC title

• G06Q30/0601 Primary

  Electronic shopping [e-shopping] · CPC title

• G06Q20/02

  involving a neutral party, e.g. certification authority, notary or trusted third party [TTP] · CPC title

• G06Q20/4016

  involving fraud or risk level assessment in transaction processing · CPC title