System and method for generating a recommendation on a mobile device

• US 20090156182A1
• Filed: 12/04/2008
• Published: 06/18/2009
• 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
• Granted Patent: US 8,095,153 B2
• Time in Patent Office: Days
• US Class Current: 455/414.200
• 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; 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.

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

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 further wherein the recommendation is based on the matching event.

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

transmitting information to the mobile device wherein the information is transmitted to the mobile device in response to an 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 one of the plurality of events occurs at the venue wherein the recommendation is based on the venue.

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

transmitting a subject of the recommendation to the mobile device wherein a provider connected to the mobile device by a network transmits the subject of the recommendation to the mobile device via the network if the recommendation is accepted.

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; and

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

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 further comprising the step of:

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

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

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

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

providing a database of a plurality of events wherein each of the plurality of events is associated with a specific location and further wherein the location of the mobile device is compared to the specific locations of the plurality of events wherein the recommendation is based on a matching event of the plurality of events and further wherein the specific location of the matching event corresponds to the first location of the mobile device.

13. 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.

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

determining a distance of the first location from a second location wherein the recommendation is based on the distance.

15. 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 and further wherein the first network transmits the recommendation to the mobile device wherein the recommendation is based on the location 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.

16. The system of claim 15 further comprising:

a second network that transmits the subject of the recommendation to the mobile device.

17. The system of claim 15 wherein the first network transmits the subject of the recommendation to the mobile device.

18. The system of claim 15 further comprising:

a provider connected to the first network wherein the provider transmits the subject of the recommendation to the mobile device via the first network.

19. The system of claim 15 further comprising:

a server that connects the mobile device to the first network wherein the server is located in a position that is remote relative to the mobile device and further wherein the first network transmits the recommendation to the mobile device via the server.

20. The system of claim 15 further comprising:

a database connected to the first network wherein the database has a plurality of events and further wherein each of the plurality of events is associated with a specific location and further wherein the location of the mobile device is compared to the specific locations of the plurality of events wherein the recommendation is based on a matching event of the plurality of events and further wherein the specific location of the matching event corresponds to the location of the mobile device.