Method and apparatus for providing hub-based indexing and services

• US 9,294,878 B2
• Filed: 02/29/2012
• Issued: 03/22/2016
• Est. Priority Date: 02/29/2012
• Status: Active Grant

• Current Assignee: RPX Corporation
• Original Assignee: Nokia Technologies Oy (Nokia Corporation)
• Inventors: Tian, Jilei, Cao, Huanhuan, Liu, Zhen
• Primary Examiner(s): Flores, Leon
• Application Number:
  US14/379,976
• Publication Number:
  US 20150031400A1
• Time in Patent Office: 1,483 Days
• Field of Search: 455/456.3
• US Class Current: 1/1
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/53 using third party service providers
• CPC Class Codes: H04L 67/62 Establishing a time schedule for servicing the requests
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/18 Information format or content conversion, e.g. adaptation by the network of the transmitted or received information for the purpose of wireless delivery to users or terminals
• CPC Class Codes: H04W 88/02 Terminal devices

Abstract

An approach is provided for providing hub-based indexing and services. The hub-based platform causes, at least in part, an indexing of location-based content according to one or more location hubs of one or more transportation lines, Next, the hub-based platform determines a current proximity, a predicted proximity, or a combination thereof of one or more devices to the one or more location hubs, wherein the one or more devices are (a) traveling on the one or more transportation lines, (b) predicted to travel on the one or more transportation lines, or (c) a combination thereof. Then, the hub-based platform causes, at least in part, a presentation of at least a portion of the location-based content based, at least in part, on the current proximity, the predicted proximity, or a combination thereof.

Claims

1. A method comprising:

indexing location-based content according to one or more location hubs of one or more transportation lines;

determining a current proximity, a predicted proximity, or a combination thereof of one or more devices to the one or more location hubs, wherein the one or more devices are (a) traveling on the one or more transportation lines, (b) predicted to travel on the one or more transportation lines, or (c) a combination thereof;

presenting at least a portion of the location-based content based, at least in part, on the current proximity, the predicted proximity, or a combination thereof; and

determining history information relating to prior traveling associated with the one or more devices and the one or more transportation lines,

wherein the history information comprises how frequently the one or more devices utilize a particular transportation line, how frequently the one or more devices utilize the one or more location hubs for departure, and time of day the one or more devices utilize the one or more transportation lines or the one or more hubs, and

wherein the determination of the current proximity, the predicted proximity, or a combination thereof is based, at least in part, on the history information.

2. A method of claim 1, further comprising:

processing sensor information associated with the one or more devices to determine the current proximity, the predicted proximity, or a combination thereof.

3. A method of claim 1, further comprising:

determining scheduling information associated with the one or more transportation lines,

wherein the determination of the current proximity, the predicted proximity, or a combination thereof is based, at least in part, on the scheduling information.

4. A method of claim 1, further comprising:

transmitting the current proximity, the predicted proximity, or a combination thereof to the one or more devices, one or more merchants, one or more promoters, one or more service providers, or a combination thereof.

5. A method of claim 1, further comprising:

determining contextual information associated with the one or more devices, the one or more location hubs, the one or more transportation lines, or a combination thereof,

wherein the determination of the current proximity, the predicted proximity, or a combination thereof is based, at least in part, on the contextual information.

6. A method of claim 1, wherein one or more users of the one or more devices are riding public transportation, the method further comprising:

determining one or more selections by the one or more users relating to the portion of the location-based content by one or more users associated with the one or more devices; and

presenting a notification relating to the portion of the location-based content based, at least in part, on the one or more selections by the one or more users,

wherein the presentation of the portion of the location-based content includes, at least in part, the notification, and

wherein the notification comprises a reminder to the one or more users to exit the public transportation when the one or more users are within a predetermined proximity threshold of the location-based content corresponding to the one or more selection by the one or more users.

7. A method of claim 1, further comprising:

determining feedback information associated with the one or more location hubs, the one or more transportation lines, or a combination thereof from the one or more devices; and

processing the feedback information to cause, at least in part, a classification relating to the one or more location hubs, the one or more transportation lines, or a combination thereof based, at least in part, on the current proximity, the predicted proximity, or a combination thereof.

8. A method of claim 1, wherein the location-based content relates, at least in part, to one or more places of interest, one or more events, one or more recommendations, one or more advertisements, one or more users associated with the one or more devices, one or more statuses, or a combination thereof.

9. A method of claim 1, wherein the one or more location hubs, the one or more transportation lines, or a combination thereof are associated with public transportation.

10. An apparatus comprising:

at least one processor; and

at least one memory including computer program code for one or more programs,

the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following,

cause, at least in part, an indexing of location-based content according to one or more location hubs of one or more transportation lines;

determine a current proximity, a predicted proximity, or a combination thereof of one or more devices to the one or more location hubs, wherein the one or more devices are (a) traveling on the one or more transportation lines, (b) predicted to travel on the one or more transportation lines, or (c) a combination thereof;

cause, at least in part, a presentation of at least a portion of the location-based content based, at least in part, on the current proximity, the predicted proximity, or a combination thereof; and

determine history information relating to prior traveling associated with the one or more devices and the one or more transportation lines,

wherein the history information comprises how frequently the one or more devices utilize a particular transportation line, how frequently the one or more devices utilize the one or more location hubs for departure, and time of day the one or more devices utilize the one or more transportation lines or the one or more hubs, and

wherein the determination of the current proximity, the predicted proximity, or a combination thereof is based, at least in part, on the history information.

11. An apparatus of claim 10, wherein the apparatus is further caused to:

process sensor information associated with the one or more devices to determine the current proximity, the predicted proximity, or a combination thereof.

12. An apparatus of claim 10, wherein the apparatus is further caused to:

determine scheduling information associated with the one or more transportation lines,

wherein the determination of the current proximity, the predicted proximity, or a combination thereof is based, at least in part, on the scheduling information.

13. An apparatus of claim 10, wherein the apparatus is further caused to:

cause, at least in part, a transmission of the current proximity, the predicted proximity, or a combination thereof to the one or more devices, one or more merchants, one or more promoters, one or more service providers, or a combination thereof.

14. An apparatus of claim 10, wherein the apparatus is further caused to:

determine contextual information associated with the one or more devices, the one or more location hubs, the one or more transportation lines, or a combination thereof,

wherein the determination of the current proximity, the predicted proximity, or a combination thereof is based, at least in part, on the contextual information.

15. An apparatus of claim 10,

wherein one or more users of the one or more devices are riding public transportation, and

wherein the apparatus is further caused to:

determine one or more selections by the one or more users relating to the portion of the location-based content by one or more users associated with the one or more devices; and

cause, at least in part, presentation of a notification relating to the portion of the location-based content based, at least in part, on the one or more selections by the one or more user,

wherein the presentation of the portion of the location-based content includes, at least in part, the notification, and

wherein the notification comprises a reminder to the one or more users to exit the public transportation when the one or more users are within a predetermined proximity threshold of the location-based content corresponding to the one or more selection by the one or more users.

16. An apparatus of claim 10, wherein the apparatus is further caused to:

determine feedback information associated with the one or more location hubs, the one or more transportation lines, or a combination thereof from the one or more devices; and

process the feedback information to cause, at least in part, a classification relating to the one or more location hubs, the one or more transportation lines, or a combination thereof based, at least in part, on the current proximity, the predicted proximity, or a combination thereof.

17. An apparatus of claim 10, wherein the location-based content relates, at least in part, to one or more places of interest, one or more events, one or more recommendations, one or more advertisements, one or more users associated with the one or more devices, one or more statuses, or a combination thereof.

18. An apparatus of claim 10, wherein the one or more location hubs, the one or more transportation lines, or a combination thereof are associated with public transportation.

19. A non-transitory computer-readable storage medium carrying one or more sequences of one or more instructions which, when executed by one or more processors, cause an apparatus to at least perform the steps of:

causing, at least in part, an indexing of location-based content according to one or more location hubs of one or more transportation lines;

determining a current proximity, a predicted proximity, or a combination thereof of one or more devices to the one or more location hubs, wherein the one or more devices are (a) traveling on the one or more transportation lines, (b) predicted to travel on the one or more transportation lines, or (c) a combination thereof;

causing, at least in part, a presentation of at least a portion of the location-based content based, at least in part, on the current proximity, the predicted proximity, or a combination thereof;

determining history information relating to prior traveling associated with the one or more devices and the one or more transportation lines,

wherein the history information comprises how frequently the one or more devices utilize a particular transportation line, how frequently the one or more devices utilize the one or more location hubs for departure, and time of day the one or more devices utilize the one or more transportation lines or the one or more hubs, and

wherein the determination of the current proximity, the predicted proximity, or a combination thereof is based, at least in part, on the history information.