SYSTEM AND METHOD FOR GENERATING A RECOMMENDATION ON A MOBILE DEVICE

• US 20120064917A1
• Filed: 11/22/2011
• Published: 03/15/2012
• Est. Priority Date: 12/12/2007
• Status: Active Grant

• Current Assignee: III Holdings 2, LLC
• Original Assignee: PacketVideo Corporation (Nippon Telegraph and Telephone Corporation)
• Inventors: Jenkins, Andrew, Rayfield, Jeff
• Granted Patent: US 8,417,263 B2
• Time in Patent Office: Days
• US Class Current: 455/456.1
• CPC Class Codes: G06Q 30/0251 Targeted advertisements
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: H04M 2201/18 Comparators
• CPC Class Codes: H04M 2201/36 Memories
• CPC Class Codes: H04M 2207/18 wireless networks
• CPC Class Codes: H04M 2242/15 Information service where the information is dependent on the location of the subscriber
• CPC Class Codes: H04M 3/42348 Location-based services which utilize the location information of a target
• CPC Class Codes: H04M 3/4878 Advertisement messages
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

A system and a method generate a recommendation on a mobile device. The system and the method may use a time, a location, a venue and/or an event to generate the recommendation. Further, the system and the method may use an event database to determine current interests of the user. Still further, the system and the method for generating a recommendation on a mobile device may use a transactional history of the user and/or behavior of other users to generate the recommendation. The system and the method may recommend, for example, digital media, news and event information, editorial content and/or physical or digital merchandise. As a result, the system and the method may generate a recommendation that corresponds to the current interests of the user.

Claims

1. A method for generating a recommendation on a mobile device of a user, the method comprising the steps of:

determining a first location of the mobile device;

determining a first time and a first date wherein the first time and the first date correspond to the current time and the current date;

comparing the first location, the first time and the first date to event details of a plurality of scheduled events wherein the event details specify locations, times and dates of the scheduled events;

determining a matching event from the plurality of scheduled events wherein the location, the time and the date of the matching event correspond to the first location, the first time and the first date;

generating the recommendation wherein the recommendation is generated at least in part based on the matching event; and

transmitting the recommendation to the mobile device wherein the mobile device displays the recommendation.

2. The method of claim 1 wherein the first location, the first time and the first date are provided by the mobile device and transmitted to an entity remote from the mobile device and further wherein the entity stores the event details in a database of scheduled events wherein the entity remote from the mobile device performs the comparing step and the determining step.

3. The method of claim 1 wherein the first location is determined using a GPS receiver unit of the mobile device and further wherein the first time and the first date are calculated by an entity remote from the mobile device.

4. The method of claim 1 wherein the recommendation recommends multimedia content associated with the matching event and further wherein the multimedia content is transmitted to the mobile device in response to user input on the mobile device which accepts the recommendation.

5. The method of claim 1 wherein the recommendation recommends physical merchandise associated with the matching event and further wherein the physical merchandise is delivered to a shipping address of the user of the mobile device in response to user input on the mobile device which accepts the recommendation.

6. The method of claim 1 wherein the recommendation recommends a business associated with the matching event and proximate to the first location.

7. The method of claim 1 wherein the matching event is a sporting event of a specific sport and further wherein the recommendation recommends one of media content associated with the specific sport and physical merchandise associated with the specific sport.

8. The method of claim 1 wherein the matching event is a musical performance of a specific musical artist and further wherein the recommendation recommends one of media content associated with the specific musical artist and physical merchandise associated with the specific musical artist.

9. The method of claim 1 wherein the recommendation is generated at least in part based on a transactional history of the user of the mobile device and further wherein the transactional history identifies transactions of the user of the mobile device when the mobile device was located at the first location.

10. The method of claim 1 wherein the recommendation is generated at least in part based on a transactional history of other mobile device users and further wherein the transactional history identifies transactions of the other mobile device users at the first location.

11. The method of claim 1 wherein the recommendation is generated at least in part based on a transactional history of other mobile device users and further wherein the transactional history identifies transactions of the other mobile device users when attending events similar to the matching event.

12. The method of claim 1 wherein the recommendation is generated at least in part based on a transactional history of the user of the mobile device and further wherein the transactional history identifies merchandise previously purchased by the user.

13. The method of claim 1 wherein the recommendation is generated at least in part based on a transactional history of the user of the mobile device and further wherein the transactional history identifies media content previously obtained by the user.

14. The method of claim 1 further comprising the step of:

accepting user input on the mobile device wherein the user input indicates acceptance of the recommendation and provides payment information for the user and further wherein confirmation of completion of a commercial transaction is transmitted to the mobile device in response to the user input.

15. A system for generating a recommendation for a user, the system comprising:

a mobile device for which a first location, a first time and a first date are determined wherein the first time and the first date correspond to the current time and the current date and further wherein the first location, the first time and the first date are compared to event details which specify locations, times and dates of a plurality of scheduled events to select a matching event from a plurality of scheduled events wherein the location, the time and the date of the matching event correspond to the first location, the first time and the first date; and

a recommendation generated at least in part based on the matching event wherein the recommendation is transmitted to the mobile device and displayed by the mobile device.

16. The system of claim 15 further comprising:

an entity remote from the mobile device wherein the entity stores the event details of the plurality of scheduled events in a database and further wherein the entity remote from the mobile device receives the first location, the first time and the first date from the mobile device, compares the first location, the first time and the first date to the event details, and determines the matching event.

17. The system of claim 15 further comprising:

a GPS receiver unit of the mobile device wherein the GPS receiver unit is used to determine the first location and further wherein the first time and the first date are calculated by an entity remote from the mobile device.

18. The system of claim 15 further comprising:

multimedia content associated with the matching event wherein the recommendation recommends the multimedia content and further wherein the multimedia content is transmitted to the mobile device in response to user input on the mobile device which accepts the recommendation.

19. The system of claim 15 further comprising:

physical merchandise associated with the matching event wherein the recommendation recommends the physical merchandise and further wherein the physical merchandise is delivered to a shipping address of the user of the mobile device in response to user input on the mobile device which accepts the recommendation.

20. The system of claim 15 wherein the recommendation recommends a business associated with the matching event and proximate to the first location.

21. The system of claim 15 wherein the matching event is a musical performance of a specific musical artist and further wherein the recommendation recommends one of media content associated with the specific musical artist and physical merchandise associated with the specific musical artist.

22. The system of claim 15 wherein the recommendation is generated at least in part based on a transactional history of the user of the mobile device and further wherein the transactional history identifies transactions of the user of the mobile device when the mobile device was located at the first location.

23. The system of claim 15 wherein the recommendation is generated at least in part based on a transactional history of other mobile device users and further wherein the transactional history identifies transactions of the other mobile device users at the first location.

24. The system of claim 15 wherein the recommendation is generated at least in part based on a transactional history of other mobile device users and further wherein the transactional history identifies transactions of the other mobile device users when attending events similar to the matching event.

25. The system of claim 15 wherein the recommendation is generated at least in part based on a transactional history of the user of the mobile device and further wherein the transactional history identifies merchandise previously purchased by the user.

26. The system of claim 15 wherein the recommendation is generated at least in part based on a transactional history of the user of the mobile device and further wherein the transactional history identifies media content previously obtained by the user.

27. The system of claim 15 further comprising:

payment information for the user accepted by the mobile device after displaying the recommendation wherein confirmation of completion of a commercial transaction is transmitted to the mobile device in response to the payment information provided by the user.

28. A method for generating a recommendation for a first mobile device, the method comprising the steps of:

determining a first location of the first mobile device;

determining a transactional history of one or more mobile device users wherein the transactional history is transactions of the one or more mobile device users when using their mobile devices at the first location;

generating the recommendation wherein the recommendation is generated at least in part based on the transactional history; and

transmitting the recommendation to the mobile device wherein the mobile device displays the recommendation.

29. The method of claim 28 wherein the transactional history is media obtained by the user of the first mobile device while using the first mobile device at the first location.

30. The method of claim 28 wherein the transactional history is merchandise purchased by the user of the first mobile device while using the first mobile device at the first location.

31. The method of claim 28 wherein the transactional history wherein the transactional history includes media obtained at the first location by mobile device users other than the user of the first mobile device.

32. The method of claim 28 wherein the transactional history includes merchandise purchased at the first location by mobile device users other than the user of the first mobile device.

33. The method of claim 28 wherein the recommendation recommends multimedia content associated with the matching event and further wherein the multimedia content is transmitted to the first mobile device in response to user input on the first mobile device which accepts the recommendation.

34. The method of claim 28 wherein the recommendation recommends physical merchandise associated with the matching event and further wherein the multimedia content is sent to an address associated with the user of the first mobile device in response to user input on the first mobile device which accepts the recommendation.