ENHANCED METHOD AND APPARATUS FOR ENHANCING SUPPORT FOR SERVICE DELIVERY

• US 20100146553A1
• Filed: 09/21/2009
• Published: 06/10/2010
• Est. Priority Date: 12/05/2008
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Gillies, Donald W., LO, CHARLES N.
• Granted Patent: US 8,443,390 B2
• Time in Patent Office: Days
• US Class Current: 725/54
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/262 Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists scheduling strategies for dispatcher in multiprogramming arrangements G06F9/4881; arrangements for scheduling broadcast services or broadcast-related services H04H60/06; flow control in packet networks H04L47/10; establishing a time schedule or organising the servicing of application requests H04L67/62
• CPC Class Codes: H04N 21/266 Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
• CPC Class Codes: H04N 21/41407 embedded in a portable device, e.g. video client on a mobile phone, PDA, laptop constructional details of equipment or arrangements specially adapted for portable computer application G06F1/1626; arrangements specially adapted for mobile receivers in broadcast systems H04H20/57
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/47 End-user applications
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/6131 involving transmission via a mobile phone network wireless downlink channel access H04W74/006
• CPC Class Codes: H04N 21/6181 involving transmission via a mobile phone network arrangements for providing broadcast or conference services to substation in data switching networks in combination with wireless systems H04L12/189; wireless uplink channel access H04W74/004
• CPC Class Codes: H04N 21/6405 Multicasting data broadcast and multicast in packet switching networks H04L12/18
• CPC Class Codes: H04N 21/6408 Unicasting

Abstract

A service distribution system supports creation of a personalized and virtual service broadcast that can be selectively clipped and cached based on content descriptors of popularity, freshness, etc. A method for selectively receiving broadcast of one or more content items associated with a service to provide a unicast or multicast user experience is described. The method may comprise: detecting a characteristic of a service, or detecting a characteristic of one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic is generated by a mobile operator and pertains to an objective measure of current user interest, selectively receiving by broadcast, to the mobile device, one or more content items associated with the service based on the characteristic, and storing the one or more content items associated with the service for access through a user interface of the mobile device.

Claims

1. A method for selectively receiving broadcast of one or more content items associated with a service to provide a unicast or multicast user experience, the method comprising:

detecting a characteristic of a service, or detecting a characteristic of one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic is generated by a mobile operator and pertains to an objective measure of current user interest;

selectively receiving by broadcast, to a mobile device, one or more content items associated with the service based on the characteristic; and

storing the one or more content items associated with the service for access through a user interface of the mobile device.

2. The method of claim 1, wherein the characteristic further comprises a popularity of the one or more content items or the service, wherein the popularity for each of the one or more content items is detected either directly from the content item or indirectly from an inherited value of a popularity of the service as a default setting for the characteristic.

3. The method of claim 1, wherein each of the one or more content items further comprise a popularity weighting element to bias accessed content items results towards predefined criteria.

4. The method of claim 2, wherein the popularity characteristic further comprises a sampling time of the characteristic, wherein the sampling time includes a time when the popularity characteristic was generated.

5. The method of claim 4, wherein the popularity parameter is based at least in part upon at least one of:

a volume of discussions postings associated with the service, and wherein a comparison of the volume of discussions postings associated with the service divided by the reliability time interval results in a volume of discussions per time interval characteristic, or

a plurality of ratings associated with the service, and wherein a comparison of the plurality of ratings associated with the service divided by the reliability time interval results in a rating per time interval characteristic, or

a number of times the service was accessed, and wherein a comparison of the number of time the service was accessed against the reliability time interval results in a number of accesses per time interval characteristic.

6. The method of claim 4, further comprising a reliability time interval, wherein the reliability time interval includes a time interval between a broadcast date of the service and the sampling time, and wherein the reliability time interval is segmented into predetermined subintervals.

7. The method of claim 6, wherein each of the segments is weighted differently to preferentially bias the relatively recent segments.

8. The method of claim 2, wherein the popularity further comprises detecting popularity based on at least one of:

at least in part upon a volume of discussion postings associated with the service, at least in part upon a plurality of ratings submitted by users who accessed the service, at least in part upon a ranking based upon a number of users who accessed the service, or any combination thereof.

9. The method of claim 2, wherein the popularity further comprises detecting the popularity from a group, wherein the popularity of the group is based at least in part of weighting popularity contributions from each member of the group using a predefined weighting system, wherein the predefined weighting system is defined by at least one from the group consisting of:

a user selection, a mobile provider selection, a default mobile device selection.

10. The method of claim 1, further comprising:

receiving a program guide for the service, the program guide providing a schedule for broadcast of one or more content items associated with the service; and

scheduling to receive at least one of the one or more content items based upon the program guide.

11. A computer program product, comprising:

a computer-readable medium comprising;

a first set of codes for causing a computer to detect a characteristic of a service, or detect a characteristic of one or more content items, wherein the one or more content items are associated with the service, and the wherein characteristic is generated by a mobile operator and pertains to an objective measure of current user interest;

a second set of codes for causing a computer to selectively by broadcast, to the mobile device, receive one or more content items associated with the service based on the characteristic; and

a third set of codes for causing a computer to store the one or more content items associated with the service for access through a user interface of the mobile device.

12. An apparatus, comprising:

means for detecting a characteristic of a service, or detecting a characteristic of one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic is generated by a mobile operator and pertains to an objective measure of current user interest;

means for selectively receiving by broadcast, to a mobile device, one or more content items associated with the service based on the characteristic; and

means for storing the one or more content items associated with the service for access through a user interface of the mobile device.

13. An apparatus for selectively receiving broadcast of one or more content items associated with a service to provide a unicast or multicast user experience, the apparatus comprising:

a communication module for detecting a characteristic of a service, or detecting a characteristic of one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic is generated by a mobile operator and pertains to an objective measure of current user interest;

a receiver for selectively receiving by broadcast, to a mobile device, one or more content items associated with the service based on the characteristic; and

a user interface for accessing at least one of the one or more content items associated with the service.

14. The apparatus of claim 13, wherein the characteristic further comprises a popularity of the one or more content items or the service, wherein the popularity for each of the one or more content items is detected either directly from the content item or indirectly from an inherited value of a popularity of the service as a default setting for the characteristic.

15. The apparatus of claim 13, wherein each of the one or more content items further comprise a popularity weighting element to bias accessed content items results towards predefined criteria.

16. The apparatus of claim 14, wherein the popularity characteristic further comprises a sampling time of the characteristic, wherein the sampling time includes a time when the popularity characteristic was generated.

17. The apparatus of claim 16, wherein the popularity parameter is based at least in part upon at least one of:

a volume of discussions postings associated with the service, and wherein a comparison of the volume of discussions postings associated with the service divided by the reliability time interval results in a volume of discussions per time interval characteristic, or

a plurality of ratings associated with the service, and wherein a comparison of the plurality of ratings associated with the service divided by the reliability time interval results in a rating per time interval characteristic, or

a number of times the service was accessed, and wherein a comparison of the number of time the service was accessed against the reliability time interval results in a number of accesses per time interval characteristic.

18. The apparatus of claim 16, wherein the popularity characteristic further includes a reliability time interval, wherein the reliability time interval includes a time interval between a broadcast date of the service and the sampling time, and wherein the reliability time interval is segmented into predetermined subintervals.

19. The apparatus of claim 18, wherein each of the segments is weighted differently to preferentially bias the relatively recent segments.

20. The apparatus of claim 15, wherein the popularity further comprises detecting popularity based on at least one of:

at least in part upon a volume of discussion postings associated with the service, at least in part upon a plurality of ratings submitted by users who accessed the service, at least in part upon a ranking based upon a number of users who accessed the service, or any combination thereof.

21. The apparatus of claim 14, wherein the popularity further comprises detecting the popularity from a group, wherein the popularity of the group is based at least in part of weighting popularity contributions from each member of the group using a predefined weighting system, wherein the predefined weighting system is defined by at least one from the group consisting of:

a user selection, a mobile provider selection, a default mobile device selection.

22. The apparatus of claim 13, further comprising:

the receiver for receiving a program guide for the service, the program guide providing a schedule for broadcast of one or more content items associated with the service; and

the communication module for scheduling to receive at least one of the one or more content items based upon the program guide.

23. A method for broadcast of a service to provide a unicast or multicast user experience, comprising:

assigning a characteristic a service, or to one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic pertains to an objective measure of current user interest; and

transmitting the at least one of the one or more content items associated with the service for selective reception by a mobile device based upon the characteristic and for playing the at least one of the one or more content items associated with the service on a user interface of the mobile device.

24. The method of claim 23, wherein the characteristic further comprises a popularity of the one or more content items or the service, wherein the popularity for each of the one or more content items is detected either directly from the content item or indirectly from an inherited value of a popularity of the service as a default setting for the characteristic.

25. The method of claim 23, wherein each of the one or more content items further comprise a popularity weighting element to bias accessed content items results towards predefined criteria.

26. The method of claim 24, wherein the popularity characteristic further comprises a sampling time of the characteristic, wherein the sampling time includes a time when the popularity characteristic was generated.

27. The method of claim 26, wherein the popularity parameter is based at least in part upon at least one of:

a volume of discussions postings associated with the service, and wherein a comparison of the volume of discussions postings associated with the service divided by the reliability time interval results in a volume of discussions per time interval characteristic, or

a plurality of ratings associated with the service, and wherein a comparison of the plurality of ratings associated with the service divided by the reliability time interval results in a rating per time interval characteristic, or

a number of times the service was accessed, and wherein a comparison of the number of time the service was accessed against the reliability time interval results in a number of accesses per time interval characteristic.

28. The method of claim 26, further comprising a reliability time interval, wherein the reliability time interval includes a time interval between a broadcast date of the service and the sampling time, and wherein the reliability time interval is segmented into predetermined subintervals.

29. The method of claim 28, wherein each of the segments is weighted differently to preferentially bias the relatively recent segments.

30. The method of claim 24, wherein the popularity further comprises detecting popularity based on at least one of:

at least in part upon a volume of discussion postings associated with the service, at least in part upon a plurality of ratings submitted by users who accessed the service, at least in part upon a ranking based upon a number of users who accessed the service, or any combination thereof.

31. The method of claim 24, wherein the popularity further comprises detecting the popularity from a group, wherein the popularity of the group is based at least in part of weighting popularity contributions from each member of the group using a predefined weighting system, wherein the predefined weighting system is defined by at least one from the group consisting of:

a user selection, a mobile provider selection, a default mobile device selection.

32. The method of claim 23, further comprising:

generating a program guide for the service, the program guide providing a schedule for broadcast of one or more content items associated with the service; and

broadcasting at least a portion of the one or more content items associated with the service according to the program guide.

33. A computer program product, comprising:

a computer-readable medium comprising;

a first set of codes for causing a computer to assign a characteristic a service, or to one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic pertains to an objective measure of current user interest; and

a second set of codes for causing a computer to transmit the at least one of the one or more content items associated with the service for selective reception by a mobile device based upon the characteristic and for playing the at least one of the one or more content items associated with the service on a user interface of the mobile device

34. An apparatus, comprising:

means for assigning a characteristic a service, or to one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic pertains to an objective measure of current user interest; and

means for transmitting the at least one of the one or more content items associated with the service for selective reception by a mobile device based upon the characteristic and for playing the at least one of the one or more content items associated with the service on a user interface of the mobile device.

35. An apparatus for broadcast of one or more content items associated with a service to provide a unicast or multicast user experience, the apparatus comprising:

a computing platform for assigning a characteristic of a service, or to one or more content items, wherein the one or more content items are associated with the service, and wherein the characteristic generated by a mobile operator pertains to an objective measure of current user interest; and

a transmitter for transmitting the one or more content items associated with the service for selective reception by a user mobile device based upon the characteristic and for playing the at least one of the one or more content items associated with the service on a user interface of the mobile device.

36. The apparatus of claim 35, wherein the characteristic further comprises a popularity of the one or more content items or the service, wherein the popularity for each of the one or more content items is detected either directly from the content item or indirectly from an inherited value of a popularity of the service as a default setting for the characteristic.

37. The apparatus of claim 35, wherein each of the one or more content items further comprise a popularity weighting element to bias accessed content items results towards predefined criteria.

38. The apparatus of claim 36, wherein the popularity characteristic further comprises a sampling time of the characteristic, wherein the sampling time includes a time when the popularity characteristic was generated.

39. The apparatus of claim 38, wherein the popularity parameter is based at least in part upon at least one of:

a volume of discussions postings associated with the service, and wherein a comparison of the volume of discussions postings associated with the service divided by the reliability time interval results in a volume of discussions per time interval characteristic, or

a plurality of ratings associated with the service, and wherein a comparison of the plurality of ratings associated with the service divided by the reliability time interval results in a rating per time interval characteristic, or

a number of times the service was accessed, and wherein a comparison of the number of time the service was accessed against the reliability time interval results in a number of accesses per time interval characteristic.

40. The apparatus of claim 38, wherein the popularity characteristic further includes a reliability time interval, wherein the reliability time interval includes a time interval between a broadcast date of the service and the sampling time, and wherein the reliability time interval is segmented into predetermined subintervals.

41. The apparatus of claim 40, wherein each of the segments is weighted differently to preferentially bias the relatively recent segments.

42. The apparatus of claim 36, wherein the popularity further comprises detecting popularity based on at least one of:

at least in part upon a volume of discussion postings associated with the service, at least in part upon a plurality of ratings submitted by users who accessed the service, at least in part upon a ranking based upon a number of users who accessed the service, or any combination thereof.

43. The apparatus of claim 36, wherein the popularity further comprises detecting the popularity from a group, wherein the popularity of the group is based at least in part of weighting popularity contributions from each member of the group using a predefined weighting system, wherein the predefined weighting system is defined by at least one from the group consisting of:

a user selection, a mobile provider selection, a default mobile device selection.

44. The apparatus of claim 35, further comprising:

the computing platform for generating a program guide for the service, the program guide providing a schedule for broadcast of one or more content items associated with the service; and

the transmitter for broadcasting at least a portion of the one or more content items associated with the service according to the program guide.