Method, medium, and system for online fraud prevention

Patent metadata

Field	Value
Publication number	US-10134041-B2
Application number	US-201715675492-A
Country	US
Kind code	B2
Filing date	Aug 11, 2017
Priority date	Jul 3, 2013
Publication date	Nov 20, 2018
Grant date	Nov 20, 2018

Abstract

A user conducts activities, such as researching a product online or visiting a store that sells the product. A user then utilizes a risk analysis system to receive and store user activity data for the user's activities. When a purchase attempt is made with the user's financial account, a merchant sends a transaction request to the risk analysis system. The risk analysis system locates a record for the user and determines whether the product is identified in the user activity data. If the product is identified, the risk analysis system provides a risk score to the merchant indicating that the transaction is unlikely fraudulent. Alternatively, identification of the product provides a positive factor among multiple factors considered in a transaction risk analysis. An absence of the product in the activity can be used as a neutral or negative factor among multiple factors considered in a risk analysis of the transaction.

First claim

What is claimed is:

1. A computer-implemented method to reduce fraud in online transactions by correlating shopping behaviors of users in physical merchant locations with product identification information associated with products being purchased in the online transactions, comprising:
logging, by one or more computing devices, a location history of a user computing device, the location history comprising physical merchant locations visited by the user computing device;
associating, by the one or more computing devices, user activity data comprising the logged location history of the user computing device with a record for the user;
receiving, by the one or more computing devices, a request from an online merchant computing system, wherein the request identifies a product for a transaction involving an account of the user and provides information sufficient to identify the record of the user;
determining, by the one or more computing devices, one or more physical merchant locations at which the product may be purchased;
comparing, by the one or more computing devices, the one or more physical merchant locations visited by the user in the logged location history of the user with the one or more physical merchant locations at which the product may be purchased;
determining, by the one or more computing devices, based on the comparison, that one or more particular physical merchant locations logged in the location history of the user is a match of one or more physical merchant locations at which the product may be purchased; and
determining, by the one or more computing devices, a risk indicator for the transaction based on the match of the one or more particular physical merchant locations logged in the location history of the user to the one or more physical merchant locations at which the product may be purchased, wherein the determined risk indicator is lower based on the presence of one or more matches between the particular physical merchant locations logged in the location history of the user and the one or more physical merchant locations at which the product may be purchased, and wherein a lower risk indicator is associated with a transaction that has a lower risk of fraud and a higher risk indicator is associated with a transaction that has a higher risk of fraud.

2. The computer-implemented method of claim 1 , further comprising:
calculating, by the one or more computing devices, a risk score for the transaction based on the determined risk indicator, the risk score being indicative if the transaction is likely to be fraudulent; and
communicating, by the one or more computing devices, the risk score to the merchant computing system.

3. The computer-implemented method of claim 1 , wherein the presence of a greater number of matches results in a lower risk indicator for the purchase transaction.

4. The computer-implemented method of claim 1 , wherein the risk indicator is a qualitative risk score.

5. The computer-implemented method of claim 1 , wherein the risk indicator is a quantitative risk score.

6. The computer-implemented method of claim 1 , wherein a greater number of matches correlates to an increased likelihood that the purchase transaction involving the financial account of the user is a valid transaction.

7. The computer-implemented method of claim 1 , wherein the information sufficient to identify the record of the user comprises financial account information of the user.

8. A system to correlate location history with transaction information to reduce fraud in online transactions by correlating shopping behaviors of users in physical merchant locations with product identification information associated with products being purchased in the online transactions, comprising:
a storage device;
a processor communicatively coupled to the storage device, wherein the processor executes application code instructions that are stored in the storage device to cause the system to:
receive user activity data associated with a user, wherein the user activity data comprises a location history of a user computing device associated with the user, the location history being obtained from a location determining function of the user computing device;
associate the user activity data with a record for the user;
receive a purchase transaction request from a computing system, wherein the purchase transaction request identifies a product for a purchase transaction involving a financial account of the user and provides information sufficient to identify the record of the user;
determine one or more locations at which the product may be purchased;
compare the one or more locations stored in the location history of the user with the one or more locations at which the product may be purchased;
determine that one or more particular locations stored in the location history of the user matches one or more locations at which the product may be purchased; and
determine a risk indicator for the transaction based on the match of the one or more particular locations stored in the location history of the user to the one or more locations at which the product may be purchased, wherein the determined risk indicator is lower based on the presence of one or more matches between the particular locations stored in the location history of the user and the one or more locations at which the product may be purchased, and wherein a low risk indicator is associated with a transaction that has a low risk of fraud and a high risk indicator is associated with a transaction that has a high risk of fraud.

9. The system of claim 8 , further comprising application code instructions to:
calculate a risk score for the transaction based on the determined risk indicator, the risk score being indicative if the transaction is likely to be fraudulent; and
communicate the risk score to the computing system.

10. The system of claim 8 , wherein the computer system is a merchant computing system or a financial account issuer computing system.

11. The system of claim 8 , wherein the presence of a greater number of matches results in a lower risk score for the purchase transaction.

12. The system of claim 8 , wherein the risk indicator is a qualitative risk score or a quantitative risk score.

13. The system of claim 8 , wherein a greater number of matches correlates to an increased likelihood that the purchase transaction involving the financial account of the user is a valid transaction.

14. The system of claim 8 , wherein the information sufficient to identify the record of the user comprises financial account information of the user.

15. A computer program product, comprising:
a non-transitory computer-readable storage device having computer-executable program instructions embodied thereon that when executed by a computer cause the computer to reduce fraud in online transactions by correlating shopping behaviors of users in physical merchant locations with product identification information associated with products being purchased in the online transactions, the computer-executable program instructions comprising:
computer-executable program instructions to receive user activity data associated with a user, wherein the user activity data comprises a location history of a user computing device associated with the user, the location history being obtained from a location determining function of the user computing device;
computer-executable program instructions to associate the user activity data with a record for the user;
computer-executable program instructions to receive a purchase transaction request from a merchant computing system, wherein t

Assignees

• Google Llc

Inventors

• Cowan Mathew

Classifications

• G06Q20/12

  specially adapted for electronic shopping systems · CPC title

• G06Q20/4016 Primary

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

• G06Q20/20

  Point-of-sale [POS] network systems · CPC title