METHOD AND SYSTEM FOR USER BASED ROUTING

• US 20150058157A1
• Filed: 08/20/2013
• Published: 02/26/2015
• Est. Priority Date: 08/20/2013
• Status: Active Grant

• Current Assignee: Transform Sr Brands, LLC (ESL Investments, Inc.)
• Original Assignee: Sears Brands LLC (Sears Holdings Corporation)
• Inventors: Tamir, Michael, Glinton, Robin
• Granted Patent: US 9,390,459 B2
• Time in Patent Office: Days
• US Class Current: 705/26.7
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06Q 90/20 Destination assistance within a business structure or complex

Abstract

A system and method for providing route information to a user, in which paths provided to the user are automatically selected based on personal information of the user, so that in following the provided paths, the user passes things in which the user may have particular interest.

Claims

1. A method of operating a system for providing routing information to a user moving between a current location and a second location identified by the user, the method comprising:

receiving personal information of the user;

receiving a request from the user for directions for moving from the current location to the second location;

calculating two or more routes from the current location to the second location;

assigning a score to each of the calculated routes, according to the personal information;

sorting the calculated routes in order of their assigned scores;

selecting one or more routes from the sorted routes; and

transmitting the one or more routes for display to the consumer.

2. The method according to claim 1, wherein the routes are in an indoor environment.

3. The method according to claim 1, wherein the personal information of the user comprises one or both of purchase history information and product preference information.

4. The method according to claim 1, wherein the personal information of the user comprises demographic information captured from a video image of the user.

5. The method according to claim 1, wherein the personal information of the user comprises information about a member of a social network of the user.

6. The method according to claim 1, wherein the score assigned to a particular route is representative of a level of interest of the user in things along the particular route.

7. The method according to claim 6, wherein the particular route is a path through a store, the second location is a location of a product identified by the user, and the things are products for purchase.

8. The method according to claim 1, wherein selecting one or more routes comprises:

choosing one or more of the sorted routes having scores representative of a greatest level of interest to the user; and

recording locations for display to the user with the one or more routes, the locations being of particular interest to the user according to the personal information of the user.

9. A system for providing routing information to a user moving between a current location and a second location identified by the user, the system comprising:

at least one processor communicatively coupled to a display device, the at least one processor, during operation, at least;

receiving personal information of the user;

receiving a request from the user for directions for moving from the current location to the second location;

calculating two or more routes from the current location to the second location;

assigning a score to each of the calculated routes, according to the personal information;

sorting the calculated routes in order of their assigned scores;

selecting one or more routes from the sorted routes; and

transmitting the one or more routes to the display for viewing by the consumer.

10. The system according to claim 9, wherein the routes are in an indoor environment.

11. The system according to claim 9, wherein the personal information of the user comprises one or both of purchase history information and product preference information.

12. The system according to claim 9, wherein the personal information of the user comprises demographic information captured from a video image of the user.

13. The system according to claim 9, wherein the personal information of the user comprises information about a member of a social network of the user.

14. The system according to claim 9, wherein the score assigned to a particular route is representative of a level of interest of the user in things along the particular route.

15. The system according to claim 14, wherein the particular route is a path through a store, the second location is a location of a product identified by the user, and the things are products for purchase.

16. The system according to claim 9, wherein selecting one or more routes comprises:

choosing one or more of the sorted routes having scores representative of a greatest level of interest to the user; and

recording locations for display to the user with the one or more routes, the locations being of particular interest to the user according to the personal information of the user.

17. A non-transitory computer-readable medium having a plurality of code sections, each code section comprising a plurality of instructions executable by one or more processors to perform actions that provide routing information to a user moving between a current location and a second location identified by the user, the actions of the processor comprising:

receiving personal information of the user;

receiving a request from the user for directions for moving from the current location to the second location;

calculating two or more routes from the current location to the second location;

assigning a score to each of the calculated routes, according to the personal information;

sorting the calculated routes in order of their assigned scores;

selecting one or more routes from the sorted routes; and

transmitting the one or more routes for display to the consumer.

18. The non-transitory computer-readable medium according to claim 17, wherein the routes are in an indoor environment.

19. The non-transitory computer-readable medium according to claim 17, wherein the personal information of the user comprises one or both of purchase history information and product preference information.

20. The non-transitory computer-readable medium according to claim 17, wherein the personal information of the user comprises demographic information captured from a video image of the user.

21. The non-transitory computer-readable medium according to claim 17, wherein the personal information of the user comprises information about a member of a social network of the user.

22. The non-transitory computer-readable medium according to claim 17, wherein the score assigned to a particular route is representative of a level of interest of the user in things along the particular route.

23. The non-transitory computer-readable medium according to claim 19, wherein the particular route is a path through a store, the second location is a location of a product identified by the user, and the things are products for purchase.

24. The non-transitory computer-readable medium according to claim 17, wherein selecting one or more routes comprises:

choosing one or more of the sorted routes having scores representative of a greatest level of interest to the user; and

recording locations for display to the user with the one or more routes, the locations being of particular interest to the user according to the personal information of the user.