APPARATUS AND METHOD FOR GENERATING CONTENT PROGRAM RECOMMENDATIONS

• US 20090158342A1
• Filed: 12/18/2007
• Published: 06/18/2009
• Est. Priority Date: 12/18/2007
• Status: Abandoned Application

• Current Assignee: Motorola Mobility, Inc. (Lenovo Group Ltd.)
• Original Assignee: Motorola, Inc. (Motorola Solutions, Inc.)
• Inventors: Watson, Craig C., Gadanho, Sandra C., Mercer, Kevin C.
• Application Number:
  US11/958,694
• Publication Number:
  US 20090158342A1
• Time in Patent Office: Days
• US Class Current: 725/46
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An apparatus for generating content program recommendations comprises a meta-data processor (209) which provides characterising data for a plurality of content programs. A context processor (215) provides first context data for a user and a time window processor (213) determines a content consumption time window for the user in response to the first context data. The content consumption time window represents an estimated time window available to the user for consuming content. A recommendation unit (207) then generates a content program recommendation comprising in response to the content consumption time window and the characterising data. The invention may be particularly advantageous for mobile content program distribution services, such as a mobile television service, as recommendations may be generated that take into account the particular characteristics of the mobile user environment. Specifically, the recommendation can take into account the increased probability of a disruption to the consumption experience caused by external factors.

Claims

1. A method of generating content program recommendations, the method comprising:

providing characterising data for a plurality of content programs;

providing first context data for a user;

determining a content consumption time window for the user in response to the first context data; and

generating a content program recommendation comprising at least one content program of the plurality of content programs in response to the content consumption time window and the characterising data.

2. The method of claim 1 wherein the characterising data comprises a duration indication for each content program of the plurality of content programs;

and the step of generating the content program recommendation comprises generating the content program recommendation in response to duration indications for the plurality of content programs.

3. The method of claim 1 wherein the content program recommendation provides content program recommendation for a duration corresponding to a duration of the content consumption time window.

4. The method of claim 1 wherein the content program recommendation comprises a content program playlist comprising a sequential list of content programs selected from the plurality of content programs.

5. The method of claim 4 wherein the step of generating the content program recommendation comprises generating the playlist in response to a content category preference value for a content category, the content category preference value for a content program belonging to the content category being dependent on a location of the content program in the playlist.

6. The method of claim 1 wherein the step of generating the content program recommendation comprises:

determining content preference values for each of the plurality of content programs in response to a user content preference profile; and

selecting the at least one content program for the content program recommendation in response to the content preference values.

7. The method of claim 6 wherein the step of selecting the at least one content program comprises determining preference values for at least a first content program in response to the content preference value for the first content program, a duration of the at least first content program and the content consumption time window.

8. The method of claim 6 wherein the step of determining content preference values comprises determining the content preference values in response to the context data.

9. The method of claim 8 wherein the step of determining content preference values comprises determining the content preference values in response to at least one of a current time and a current location for the user.

10. The method of claim 1 wherein the context data comprises a current time.

11. The method of claim 1 wherein the context data comprises a current location estimate for the user.

12. The method of claim 1 wherein the context data comprises appointment data for the user.

13. The method of claim 1 wherein the context data comprises traffic information data.

14. The method of claim 1 wherein the step of determining the content consumption time window comprises determining the content consumption time window in response to a previous content consumption behaviour of the user.

15. The method of claim 1 wherein the method further comprises:

determining content consumption characteristics and associated consumption context data for content consumptions by the user;

storing the content consumption characteristics and associated consumption context data;

retrieving a first content consumption characteristic associated with consumption context data matching the first context data; and

wherein the step of determining the content consumption time window comprises determining the content consumption time window in response to the first content consumption characteristic.

16. The method of claim 15 wherein the associated consumption context data comprises at least one of consumption time data and location data.

17. The method of claim 1 wherein the method furthermore comprises:

determining second context data for the user during the content consumption time window;

updating the content program recommendation during the content consumption time window in response to the second context data.

18. The method of claim 1 wherein the plurality of content programs comprises real time broadcast programs.

19. An apparatus for generating content program recommendations, the apparatus comprising:

means for providing characterising data for a plurality of content programs;

means for providing first context data for a user;

means for determining a content consumption time window for the user in response to the first context data; and

means for generating a content program recommendation comprising at least one content program of the plurality of content programs in response to the content consumption time window and the characterising data.

20. A mobile terminal for a cellular communication system comprising:

means for providing characterising data for a plurality of content programs;

means for providing first context data for a user;

means for determining a content consumption time window for the user in response to the first context data; and

means for generating a content program recommendation comprising at least one content program of the plurality of content programs in response to the content consumption time window and the characterising data.