Systems and methods for recommending a retail location

• US 9,230,279 B2
• Filed: 12/18/2014
• Issued: 01/05/2016
• Est. Priority Date: 11/29/2012
• Status: Active Grant

• Current Assignee: eBay Inc.
• Original Assignee: eBay Inc.
• Inventors: Lyman, Nate L
• Primary Examiner(s): VO, TUYEN KIM
• Application Number:
  US14/575,959
• Publication Number:
  US 20150106230A1
• Time in Patent Office: 383 Days
• Field of Search: 235/375, 235/383, 235/385, 235/462.45, 235/472.01
• US Class Current: 1/1
• CPC Class Codes: G06K 19/06037 multi-dimensional coding
• CPC Class Codes: G06K 7/1417 2D bar codes
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/0629 for generating comparisons
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

A method and a system are disclosed for generating a recommendation of a retail location on a network-based system. For example, a system may obtain a retail location definition associated with a geographic location. The geographic location may represent the retail location. The system then builds a scan event model from product scan messages received from a plurality of scanning devices located within the geographic location. The scan event model may include one or more scan events each being associated with a product definition and the retail location definition. Next, a recommendation query from the search device is received by the system. The recommendation query may include a product identifier and a query location. The system may generate a recommendation of the retail location based on determining that the product identifier and the query location match the one or more scan events of the scan event model.

Claims

1. A system comprising:

a scan event handler, implemented by one or more processors, configured to build a scan event model from historical product scan messages previously received from a plurality of scanning devices associated with a plurality of users, each of the historical product scan messages being associated with a product and a scan location; and

a recommendation engine, implemented by the one or more processors, configured to;

receive a query from a device associated with a specific user, the query including product identifier and a query location; and

generate a recommendation of a location related to the product identifier, based on determining that the product identifier and the query location included in the query match one or more scan events of the scan event model that are associated with the historical product scan messages.

2. The system of claim 1, wherein the historical product scan messages are received responsive to each of the scanning devices scanning a universal product code (UPC) attached to a product.

3. The system of claim 1, wherein the scan location associated with at least one of the historical product scan messages corresponds to geo-location information from one of the scanning devices.

4. The system of claim 1, wherein the query location corresponds to geo-location information from the device associated with the specific user.

5. The system of claim 1, wherein, in generating the recommendation of the location, the recommendation engine is further configured to determine that the product identifier in the query matches a product associated with a specific one of the historical product scan messages.

6. The system of claim 5, wherein, in generating the recommendation of the location, the recommendation engine is further configured to determine the query location included in the query is proximate to a scan location associated with the specific one of the historical product scan messages.

7. The system of claim 6, wherein the recommended location corresponds to the scan location associated with the specific one of the historical product scan messages.

8. A method comprising:

building a scan event model from historical product scan messages previously received from a plurality of scanning devices associated with a plurality of users, each of the historical product scan messages being associated with a product and a scan location;

receiving a query from a device associated with a specific user, the query including a product identifier and a query location; and

generating, using one or more processors, a recommendation of a location related to the product identifier, based on determining that the product identifier and the query location included in the query match one or more scan events of the scan event model that are associated with the historical product scan messages.

9. The method of claim 8, wherein the historical product scan messages are received responsive to each of the scanning devices scanning a universal product code (UPC) attached to a product.

10. The method of claim 8, wherein the scan location associated with at least one of the historical product scan messages corresponds to geo-location information from one of the scanning devices.

11. The method of claim 8, wherein the query location corresponds to geo-location information from the device associated with the specific user.

12. The method of claim 8, wherein the generating further comprises determining that the product identifier in the query matches a product associated with a specific one of the historical product scan messages.

13. The method of claim 12, wherein the generating further comprises determining that the recommendation engine is further configured to determine the query location included in the query is proximate to a scan location associated with the specific one of the historical product scan messages.

14. The method of claim 13, wherein the recommended location corresponds to the scan location associated with the specific one of the historical product scan messages.

15. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

building a scan event model from historical product scan messages previously received from a plurality of scanning devices associated with a plurality of users, each of the historical product scan messages being associated with a product and a scan location;

receiving a query from a device associated with a specific user, the query including a product identifier and a query location; and

generating a recommendation of a location related to the product identifier, based on determining that the product identifier and the query location included in the query match one or more scan events of the scan event model that are associated with the historical product scan messages.

16. The storage medium of claim 15, wherein the historical product scan messages are received responsive to each of the scanning devices scanning a universal product code (UPC) attached to a product.

17. The storage medium of claim 15, wherein the scan location associated with at least one of the historical product scan messages corresponds to geo-location information from one of the scanning devices.

18. The storage medium of claim 15, wherein the generating further comprises determining that the product identifier in the query matches a product associated with a specific one of the historical product scan messages.

19. The storage medium of claim 18, wherein the generating further comprises determining that the recommendation engine is further configured to determine the query location included in the query is proximate to a scan location associated with the specific one of the historical product scan messages.

20. The storage medium of claim 19, wherein the recommended location corresponds to the scan location associated with the specific one of the historical product scan messages.