RESOURCE PROFILE ADJUSTMENT FOR PRE- FETCHING OF ASSETS TO USER EQUIPMENT

• US 20120149417A1
• Filed: 12/09/2010
• Published: 06/14/2012
• Est. Priority Date: 12/09/2010
• Status: Active Grant

• Current Assignee: RPX Corporation
• Original Assignee: Alcatel-Lucent SA (Nokia Corporation)
• Inventors: Akhtar, Shahid
• Granted Patent: US 8,787,882 B2
• Time in Patent Office: Days
• US Class Current: 455/509
• CPC Class Codes: G06F 16/9574 of access to content, e.g. by caching
• CPC Class Codes: H04L 67/04 specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/30 Profiles
• CPC Class Codes: H04W 28/06 Optimizing the usage of the radio link, e.g. header compression, information sizing , discarding information system modifying transmission characteristic according to link quality by modifying frame length H04L1/0007; dynamic adaptation of the packet size for flow control or congestion control H04L47/365
• CPC Class Codes: H04W 28/26 Resource reservation
• CPC Class Codes: H04W 8/18 Processing of user or subscriber data, e.g. subscribed services, user preferences or user profiles; Transfer of user or subscriber data

Abstract

Systems and methods are disclosed for adjusting resource profiles which are used by user equipment (UE) to pre-fetch assets from content providers. In one embodiment, a recommender system receives a resource profile from a UE. The resource profile indicates content providers that have assets for the UE to download in advance during a pre-fetch operation. The resource profile also defines a percentage of UE resources allocated to each of the content providers for downloading the assets during the pre-fetch operation. The recommender system then adjusts the percentages of the UE resources in the resource profile for the end user to generate an updated resource profile for the end user, and transmits the updated resource profile to the UE for use in one or more subsequent pre-fetch operations.

Claims

1. A system comprising:

a recommender system operable to receive a resource profile from user equipment (UE) of an end user, wherein the resource profile indicates content providers that have assets for the UE to download in advance during a pre-fetch operation for local storage of the assets on the UE, and defines a percentage of UE resources allocated to each of the content providers for downloading the assets during the pre-fetch operation;

the recommender system further operable to adjust the percentages of the UE resources in the resource profile to generate an updated resource profile, and to transmit the updated resource profile to the UE for use in at least one subsequent pre-fetch operation.

2. The system of claim 1 wherein:

the recommender system is further operable to adjust the percentages of the UE resources in the resource profile based on at least one of;

percentages in prior resource profiles for the end user; and

percentages in resource profiles for other end users.

3. The system of claim 1 wherein:

the recommender system is further operable to identify a plurality of prior resource profiles for the end user, to calculate an average of percentages in the prior resource profiles, and to adjust the percentages in the resource profile for the end user based on the average of the percentages in the prior resource profiles.

4. The system of claim 3 wherein:

the recommender system is further operable to identify a first set of resource profiles for other end users having similar interest as the end user, and to adjust the percentages in the resource profile for the end user based on percentages in the first set of resource profiles.

5. The system of claim 4 wherein:

the recommender system is further operable to identify a second set of resource profiles for other end users having similar demographics as the end user, to calculate an average of percentages in the second set of resource profiles, and to adjust the percentages in the resource profile for the end user based on the average of the percentages in second set of resource profiles.

6. The system of claim 5 wherein:

the recommender system is further operable to add the average of the percentages in the prior resource profiles, the percentages in the first set of resource profiles, and the average of the percentages in second set of resource profiles to generate the updated resource profile for the end user.

7. The system of claim 1 wherein the percentage of UE resources allocated to each of the content providers comprises:

the percentage of UE processing time allocated to each of the content providers for downloading assets from the content providers during the pre-fetch operation.

8. The system of claim 1 wherein the percentage of UE resources allocated to each of the content providers comprises:

the percentage of UE memory allocated to each of the content providers for downloading assets from the content providers during the pre-fetch operation.

9. A method comprising:

receiving a resource profile from user equipment (UE) of an end user, wherein the resource profile indicates content providers that have assets for the UE to download in advance during a pre-fetch operation for local storage of the assets on the UE, and defines a percentage of UE resources allocated to each of the content providers for downloading the assets during the pre-fetch operation;

adjusting the percentages of the UE resources in the resource profile to generate an updated resource profile; and

transmitting the updated resource profile to the UE for use in at least one subsequent pre-fetch operation.

10. The method of claim 9 wherein adjusting the percentages of the UE resources in the resource profile comprises adjusting the percentages based on at least one of:

percentages in prior resource profiles for the end user; and

percentages in resource profiles for other end users.

11. The method of claim 9 wherein adjusting the percentages of the UE resources in the resource profile comprises:

identifying a plurality of prior resource profiles for the end user;

calculating an average of percentages in the prior resource profiles; and

adjusting the percentages in the resource profile for the end user based on the average of the percentages in the prior resource profiles.

12. The method of claim 11 wherein adjusting the percentages of the UE resources in the resource profile comprises:

identifying a first set of resource profiles for other end users having similar interest as the end user; and

adjusting the percentages in the resource profile for the end user based on percentages in the first set of resource profiles.

13. The method of claim 12 wherein adjusting the percentages of the UE resources in the resource profile comprises:

identifying a second set of resource profiles for other end users having similar demographics as the end user;

calculating an average of percentages in the second set of resource profiles; and

adjusting the percentages in the resource profile for the end user based on the average of the percentages in second set of resource profiles.

14. The method of claim 13 wherein adjusting the percentages of the UE resources in the resource profile to generate the updated resource profile comprises:

adding the average of the percentages in the prior resource profiles, the percentages in the first set of resource profiles, and the average of the percentages in second set of resource profiles to generate the updated resource profile for the end user.

15. The method of claim 9 wherein the percentage of UE resources allocated to each of the content providers comprises:

the percentage of UE processing time allocated to each of the content providers for downloading assets from the content providers during the pre-fetch operation.

16. The method of claim 9 wherein the percentage of UE resources allocated to each of the content providers comprises:

the percentage of UE memory allocated to each of the content providers for downloading assets from the content providers during the pre-fetch operation.

17. A computer readable medium tangibly embodying programmed instructions which, when executed by a computer system, are operable for performing a method of adjusting resource profiles of User Equipment (UE) of a mobile network that are used to pre-fetch assets from content providers, the method comprising:

receiving a resource profile from the UE of an end user, wherein the resource profile indicates content providers that have assets for the UE to download in advance during a pre-fetch operation for local storage of the assets on the UE, and defines a percentage of UE resources allocated to each of the content providers for downloading the assets during the pre-fetch operation;

adjusting the percentages of the UE resources in the resource profile to generate an updated resource profile; and

transmitting the updated resource profile to the UE for use in at least one subsequent pre-fetch operation.

18. The computer readable medium of claim 17 wherein adjusting the percentages of the UE resources in the resource profile comprises adjusting the percentages based on at least one of:

percentages in prior resource profiles for the end user; and

percentages in resource profiles for other end users.

19. The computer readable medium of claim 17 wherein adjusting the percentages of the UE resources in the resource profile comprises:

identifying a plurality of prior resource profiles for the end user;

calculating an average of percentages in the prior resource profiles; and

adjusting the percentages in the resource profile for the end user based on the average of the percentages in the prior resource profiles.

20. The computer readable medium of claim 17 wherein adjusting the percentages of the UE resources in the resource profile comprises:

identifying a first set of resource profiles for other end users having similar interest as the end user;

identifying a second set of resource profiles for other end users having similar demographics as the end user;

calculating an average of percentages in the second set of resource profiles; and

adjusting the percentages in the resource profile for the end user based on percentages in the first set and second set of resource profiles.