Point of interest mapping

• US 9,710,873 B1
• Filed: 10/26/2012
• Issued: 07/18/2017
• Est. Priority Date: 10/26/2012
• Status: Active Grant

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Hill, Peter J.
• Primary Examiner(s): Drennan, Barry
• Assistant Examiner(s): Vu, Khoa
• Application Number:
  US13/662,309
• Time in Patent Office: 1,726 Days
• Field of Search: None
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G06T 1/20 Processor architectures; Processor configuration, e.g. pipelining
• CPC Class Codes: G06T 11/00 2D [Two Dimensional] image generation

Abstract

Embodiments of the present disclosure are directed to, among other things, providing point of interest item recommendations and/or map information. In some examples, a profile for a first user may be determined based at least in part on point of interest information. Additionally, point of interest associations may be received from one or more of a group of users, where at least one of the group is not the first user. Based at least in part on the determined profile of the first user and the received point of interest associations, a map route and/or map information associated with a route from a first location to at least a second location may be generated.

Claims

1. A computer-implemented method for managing points of interest mapping, comprising:

under control of one or more processors configured with executable instructions for,

receiving point of interest preference information associated with a first user, wherein the point of interest preference information includes at least a user-defined rating of a user-defined category, the user-defined category being assigned a categorization based at least in part on a physical characteristic associated with a point of interest in the user-defined category;

determining, based at least in part on the point of interest preference information, a profile for the first user;

collecting, from a plurality of other users, other point of interest preference information;

determining, based at least in part on the profile of the first user and the point of interest preference information associated with the first user, one or more point of interest items to recommend to the first user;

generating geolocation information including at least the one or more point of interest items to recommend; and

providing at least the geolocation information to the first user.

2. The computer-implemented method of claim 1, wherein the point of interest preference information is received from the first user during a setup phase.

3. The computer-implemented method of claim 2, wherein the profile of the first user is updated based at least in part on additional point of interest information received after the setup phase.

4. The computer-implemented method of claim 3, wherein the additional point of interest information includes at least one of a rating, a tag, or geolocation information.

5. The computer-implemented method of claim 1, wherein the one or more point of interest items include at least one of a structure or a landmark.

6. A computer-implemented method for managing points of interest mapping, comprising:

under control of one or more processors configured with executable instructions for,

receiving user preference information for a user, the user preference information including at least a user-generated rating associated with a user-defined category, the user-defined category being assigned a categorization based at least in part on a physical characteristic associated with a point of interest in the user-defined category;

generating a point of interest profile for the user based at least in part on the user-generated rating associated with the user-defined category of the user preference information;

receiving location information associated with the user;

determining a recommended point of interest item based at least in part on at least one of the point of interest profile or the location information; and

generating map information associated with the recommended point of interest item.

7. The computer-implemented method of claim 6, wherein the rating indicates a level of interest, for the user, in the user-defined category.

8. The computer-implemented method of claim 6, wherein the rating indicates a level of agreement, by the user, with an association between the categorization of the user-defined category and an associated point of interest item.

9. The computer-implemented method of claim 6, wherein the determination of the recommended point of interest item is based at least in part on one or more user-defined categories received from additional users, one or more ratings of the user-defined categories, or one or more ratings of point of interest items.

10. The computer-implemented method of claim 6, wherein the map information includes at least one of a map associated with the recommended point of interest item or a route from a location associated with the location information of the user to the recommended point of interest item.

11. The computer-implemented method of claim 6, wherein the user preference information is received from the user during a setup phase.

12. The computer implemented method of claim 6, wherein generating the map information comprises generating a directional route from a first location associated with the user to at least a second location associated with the recommended point of interest item.

13. A system for managing points of interest mapping, comprising:

at least one memory that stores computer-executable instructions; and

at least one processor configured to access the at least one memory, wherein the at least one processor is configured to execute the computer-executable instructions to perform operations comprising;

determine a point of interest profile for a user, the point of interest profile being based at least in part on user preference information including at least a rating associated with a user-defined category, the user-defined category being assigned a categorization based at least in part on a physical characteristic associated with a point of interest in the user-defined category;

manage one or more user-defined categories received from one or more additional users of a plurality of users; and

generate customized map information based at least in part on the point of interest profile of the user and the one or more user-defined categories.

14. The system of claim 13, wherein the one or more user-defined categories are associated with at least one of a rating of the one or more user-defined categories or a rating of a point of interest item associated with the one or more user-defined categories.

15. The system of claim 13, wherein the operations further comprise receiving a location of the user.

16. The system of claim 15, wherein the customized map information includes at least directions from the location of the user to a point of interest item recommended to the user based at least in part on the point of interest profile of the user.

17. The system of claim 13, wherein the operations further comprise determining a second point of interest profile for a second user.

18. The system of claim 15, wherein the customized map information includes at least directions from the location of the user to a point of interest item recommended to a group based at least in part on a group profile including at least the point of interest profile of the user and a second point of interest profile of a second user.

19. One or more non-transitory computer-readable media storing computer-executable instructions for managing points of interest mapping that, when executed by one or more computer systems, configure the one or more computer systems to perform operations comprising:

determining a profile for a first user based at least in part on point of interest information, the point of interest information including at least a rating associated with a user-provided category, the user-provided category being assigned a categorization based at least in part on a physical characteristic associated with a point of interest in the user-provided category;

receiving a point of interest association between a point of interest item and the user-provided category from one or more users of a plurality of users, at least one of the one or more users being different from the first user; and

generating a directional route from a first location to at least a second location based at least in part on the profile of the first user and the point of interest association.

20. The one or more non-transitory computer-readable media of claim 19, wherein the user-provided category is received from the first user or from at least one user of the plurality of users.

21. The one or more non-transitory computer-readable media of claim 19, wherein the operations further comprise selecting an optimal algorithm for generating the directional route at a time before generating the directional route, the optimal algorithm selected based at least in part on an indication that the first user visited a previously recommended point of interest item.

22. The one or more non-transitory computer-readable media of claim 19, wherein the first location is based at least in part on a received location of the first user.

23. The one or more non-transitory computer-readable media of claim 19, wherein the second location is based at least in part on a geo-fence configured by the first user.

24. The one or more non-transitory computer-readable media of claim 19, wherein the directional route is configured based at least in part on an amount of time spent at each point of interest item on the directional route.