Method and system for user based routing
View Patent ↗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.
1. A method of operating a system for providing routing information to a user moving between a current location and a second location of a product or a product category 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;
in response to the user request, calculating two or more routes from the current location to the second location;
selecting, from the two or more routes, a particular number of the shortest routes of the two or more routes;
assigning a score to each of the selected routes, wherein assigning comprises:
generating a respective list of products that would be passed by the user while traveling from the current location to the second location along each particular route of the selected routes, and
calculating the score for each particular route of the selected routes as a sum of values assigned to each product of the respective list of products for the particular route, wherein the assigned values are representative of one or both of a likelihood of purchase of the product by the user and a degree of relevancy of the product to the product identified by the user;
sorting the selected 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 user.
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 purchase history 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 of a product or a product category 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;
in response to the user request, calculating two or more routes from the current location to the second location;
selecting, from the two or more routes, a particular number of the shortest routes of the two or more routes;
assigning a score to each of the selected routes, wherein assigning comprises:
generating a respective list of products that would be passed by the user while traveling from the current location to the second location along each particular route of the selected routes, and
calculating the score for each particular route of the selected routes as a sum of values assigned to each product of the respective list of products for the particular route, wherein the assigned values are representative of one or both of a likelihood of purchase of the product by the user and a degree of relevancy of the product to the product identified by the user;
sorting the selected 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 purchase history 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 of a product or product category 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;
in response to the user request, calculating two or more routes from the current location to the second location;
selecting, from the two or more routes, a particular number of the shortest routes of the two or more routes;
assigning a score to each of the selected routes, wherein assigning comprises:
generating a respective list of products that would be passed by the user while traveling from the current location to the second location along each particular route of the selected routes, and
calculating the score for each particular route of the selected routes as a sum of values assigned to each product of the respective list of products for the particular route, wherein the assigned values are representative of one or both of a likelihood of purchase of the product by the user and a degree of relevancy of the product to the product identified by the user;
sorting the selected 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 user.
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 purchase history 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.
25. The method according to claim 1 , wherein the value assigned to each product is representative of a degree of relevancy of the product to the user based on the personal information of the user.
26. The method according to claim 1 , wherein the value assigned to each product is representative of a likelihood of purchase of the product by the user based on the product or product category identified by the user.
27. The method according to claim 1 , wherein assigning a value to each product comprises:
assigning a rank to each product of the respective list of products for the particular route, according to a likelihood of purchase of each product by the user based on the product or product category identified by the user; and
assigning a weight value to a certain number of the products in order of their assigned rank such that the sum of the assigned weights is a certain value.
28. The system according to claim 9 , wherein the value assigned to each product is representative of a degree of relevancy of the product to the user based on the personal information of the user.
29. The system according to claim 9 , wherein the value assigned to each product is representative of a likelihood of purchase of the product by the user based on the product or product category identified by the user.
30. The system according to claim 9 , wherein assigning a value to each product comprises:
assigning a rank to each product of the respective list of products for the particular route, according to a likelihood of purchase of each product by the user based on the product or product category identified by the user; and
assigning a weight value to a certain number of the products in order of their assigned rank such that the sum of the assigned weights is a certain value.
31. The non-transitory computer-readable medium according to claim 17 , wherein the value assigned to each product is representative of a degree of relevancy of the product to the user based on the personal information of the user.
32. The non-transitory computer-readable medium according to claim 17 , wherein the value assigned to each product is representative of a likelihood of purchase of the product by the user based on the product or product category identified by the user.
33. The non-transitory computer-readable medium according to claim 17 , wherein assigning a value to each product comprises:
assigning a rank to each product of the respective list of products for the particular route, according to a likelihood of purchase of each product by the user based on the product or product category identified by the user; and
assigning a weight value to a certain number of the products in order of their assigned rank such that the sum of the assigned weights is a certain value.