System and method for generating a recommendation on a mobile device

• US 8,095,153 B2
• Filed: 12/04/2008
• Issued: 01/10/2012
• Est. Priority Date: 12/12/2007
• Status: Active Grant

• Current Assignee: III Holdings 2, LLC (Intellectual Ventures LLC)
• Original Assignee: PacketVideo Corporation (Nippon Telegraph and Telephone Corporation)
• Inventors: Jenkins, Andrew, Rayfield, Jeff
• Primary Examiner(s): Afshar, Kamran
• Assistant Examiner(s): Fahnert, Marisol
• Application Number:
  US12/315,536
• Publication Number:
  US 20090156182A1
• Time in Patent Office: 1,132 Days
• Field of Search: 455/414, 455/418, 455/440, 4554561-4566, 455/457, 455/459, 455/461, 455/466, 455/404.2, 701/213
• US Class Current: 455/456.3
• 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, the method comprising the steps of:

providing a database of a plurality of events wherein each of the plurality of events is associated with event details;

determining a location of the mobile device;

determining a time and a date;

comparing the location of the mobile device, the time and the date to the event details of the plurality of events;

determining a matching event from the plurality of events wherein the event details associated with the matching event correspond to the location of the mobile device, the time and the date; and

transmitting the recommendation to the mobile device wherein the recommendation is determined by comparison of the location of the mobile device, the time and the date to the event details of the plurality of events wherein the recommendation is based on the matching event;

associating a default event with the mobile device if the location of the mobile device, the time and the date do not correspond to the event details of the plurality of events wherein a first venue where the mobile device is located is determined using the location of the mobile device and further wherein the default event is based on a second venue which is a similar venue to the first venue wherein the recommendation is based on the default event.

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

recommending a multimedia file wherein the multimedia file is recommended by the mobile device displaying the recommendation and further wherein a provider connected to the mobile device by a network transmits the multimedia file to the mobile device using the network in response to user input on the mobile device indicating acceptance of the recommendation wherein the provider is a different entity than the database.

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

recommending physical merchandise wherein the physical merchandise is recommended by the mobile device displaying the recommendation and further wherein the physical merchandise is transmitted to a shipping address associated with the user of the mobile device in response to user input on the mobile device indicating acceptance of the recommendation.

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

associating a default event with the mobile device if the location of the mobile device, the time and the date do not correspond to the event details of the plurality of events wherein the recommendation is based on the default event.

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

identifying a venue where the mobile device is located wherein the venue is determined from the location and further wherein the matching event is determined based on the venue, the time and the date.

6. The method of claim 1 wherein each of the plurality of events is associated with an event time and further wherein the event time associated with the matching event is substantially the same as the time determined.

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

determining a transactional history of other users who have been at events similar to the matching event wherein the recommendation is based on the transactional history.

17. The method of claim 1 wherein the event details are established before the corresponding event of the plurality of events occurs.

18. The method of claim 1 wherein the matching event is a sporting event of a specific sport and further wherein multimedia content of the specific sport is recommended by the recommendation.

19. The method of claim 1 wherein the matching event is a musical performance involving a specific artist and further wherein multimedia content of the specific artist is recommended by the recommendation.

20. The method of claim 1 wherein the matching event is a sporting event of a specific sport and further wherein physical merchandise related to the specific sport is recommended by the recommendation.

21. The method of claim 1 wherein the matching event is a musical performance involving a specific artist and further wherein physical merchandise related to the specific artist is recommended by the recommendation.

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

determining a first location of the mobile device;

transmitting the recommendation to the mobile device wherein the recommendation is determined by the first location of the mobile device;

accepting input from the user into the mobile device;

transmitting a subject of the recommendation to the mobile device if the input indicates that the user accepts the recommendation; and

providing a database of a plurality of scheduled events wherein each of the plurality of scheduled events is associated with a specific location, a time and a date and further wherein first time and a first date are determined for the mobile device located at the first location and further wherein the first location of the mobile device, the first time and the first date are compared to the specific location, the time and the date of each of the plurality of scheduled events wherein the recommendation is based on a matching event of the plurality of scheduled events and further wherein the specific location, the time and the date of the matching event correspond to the first location of the mobile device, the first time and the first date.

8. The method of claim 7 further comprising the step of:

determining a transactional history of other users who have been located at the first location wherein the recommendation is based on the transactional history.

9. The method of claim 7 wherein the subject of the recommendation is information regarding a business located near the first location.

10. The method of claim 7 wherein the subject of the recommendation is a media file.

11. The method of claim 7 further comprising the step of:

confirming completion of a commercial transaction wherein the user input has payment information from the user and further wherein the subject of the recommendation transmitted to the mobile device has confirmation of completion of the commercial transaction.

12. The method of claim 7 further comprising the step of:

determining a distance of the first location from a home address of the user wherein the recommendation is based on comparison of the distance to a threshold value.

22. The method of claim 7 further comprising the step of:

determining a transactional history of the user wherein the transactional history is merchandise purchased by the user when the mobile device was located at the first location and further wherein the recommendation is based on the transactional history.

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

a first network; and

a mobile device connected to the first network wherein the mobile device has a location at a time and a date and further wherein the first network transmits the recommendation to the mobile device wherein the recommendation is based on the location, the-time, the date and a transactional history of the user and further wherein the mobile device receives a subject of the recommendation if the recommendation is accepted wherein the recommendation is accepted based on input by the user on the mobile device; and

a database connected to the first network wherein the database has a plurality of scheduled events and further wherein each of the plurality of scheduled events is associated with a specific location, a time and a date and further wherein the location, the time and the date of the mobile device are compared to the specific locations and the times and the dates of the plurality of scheduled events wherein the recommendation is based on a matching event of the plurality of scheduled events and further wherein the specific location, the time and the date of the matching event correspond to the location, the time and the date of the mobile device.

14. The system of claim 13 further comprising:

a second network which is a different network than the first network wherein the second network transmits the subject of the recommendation to the mobile device.

15. The system of claim 13 further comprising:

a provider connected to the first network wherein the provider transmits the subject of the recommendation to the mobile device using the first network and further wherein the provider is a different entity than the database.

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

determining a first location of the mobile device;

transmitting the recommendation to the mobile device wherein the recommendation is determined by the first location of the mobile device;

accepting input from the user into the mobile device;

transmitting a subject of the recommendation to the mobile device if the input indicates that the user accepts the recommendation; and

determining a transactional history of the user wherein the transactional history is a history of media content obtained by the user when the mobile device was located at the first location and further wherein the recommendation is based on the transactional history.