IP Library Granted Patent US 8,649,779
Granted Patent B2
US 8,649,779 · App. 13/619,404 · Granted Feb 11, 2014

Providing customized information to a user based on identifying a trend

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Quick Facts
Patent No.
US 8,649,779
App. No.
13/619,404
Granted
Feb 11, 2014
Kind
B2
Abstract

To provide customized information to the user, a wireless communications network node receives a stream of data associated with a user. A first trend associated with at least a first attribute in the stream of data is identified, and based on the identified first trend, customized information is sent for presentation to the user at a mobile station.

Claims (56)

1. A method of providing customized information, comprising:

receiving, at a wireless communications network node, a stream of data;

identifying, at the wireless communications network node, a first trend associated with at least a first attribute in the stream of data by performing a first trend detection algorithm if the first attribute is associated with a flat trend and performing a second trend detection algorithm if the first attribute is associated with a hierarchical trend, a trend being a usage level associated with the user that exceeds a predefined threshold;

obtaining customized information based on the identified first trend; and

sending, by the wireless communications network node, the customized information to a mobile station.

2. The method of claim 1 , wherein sending the customized information comprises sending advertising information based on the identified first trend.

3. The method of claim 1 , further comprising:

storing selected items of the data that are representative of the first trend; and

discarding other items of the data that are not representative of the first trend.

4. The method of claim 3 , further comprising:

identifying a second trend associated with a second attribute in the stream of data;

based on the identified second trend, sending further customized information for presenting to the user at the mobile station.

5. The method of claim 4 , further comprising:

storing further selected items of the data that are representative of the second trend; and

discarding other items of the data not representative of either the first trend or second trend.

6. The method of claim 3 , wherein the selected items are stored in a data structure, the method further comprising:

pruning items from the data structure that are not indicative of the first trend.

7. The method of claim 3 , wherein the first trend is a hierarchical trend, and

wherein the selected items are stored in a tree structure having nodes at multiple levels, the method further comprising:

constructing the tree structure in a top-down manner.

8. The method of claim 3 , wherein the first trend is a hierarchical trend, and

wherein the selected items are stored in a tree structure having nodes at multiple levels, the method further comprising:

constructing the tree structure in a bottom-up manner.

9. The method of claim 1 , wherein the obtaining comprises receiving the customized information from a second server.

10. The method of claim 9 , further comprising sending the identified first trend to the second server.

11. The method of claim 1 , wherein the obtaining comprises selecting the customized information based on the identified first trend.

12. The method of claim 1 , further comprising:

storing selected items of the data that are representative of the first trend in a first type of data structure in response to determining that the first attribute is associated with a flat trend; and

storing selected items of the data that are representative of the first trend in a tree structure in response to determining that the first attribute is associated with a hierarchical trend.

13. The method of claim 1 , further comprising:

defining a first threshold indicative of a minor trend for the first attribute;

defining a second threshold indicative of a major trend for the first attribute; and

wherein identifying the first trend comprises identifying the major trend for the first attribute.

14. The method of claim 1 , wherein the identified first trend is one of the following plural types: percentage-based usage type; cardinality-based usage type; and interval-based usage type, the method further comprising:

defining one or more thresholds for the identified first trend based on the type of the first trend.

15. A network node for use in a communications network, comprising:

an interface to receive a stream of data;

a processor to:

identify a first trend associated with at least an attribute in the stream of data by performing a first trend detection algorithm if the first attribute is associated with a flat trend and performing a second trend detection algorithm if the first attribute is associated with a hierarchical trend, a trend being a usage level associated with the user that exceeds a predefined threshold;

obtain customized information based on the identified first trend;

send the customized information to a user station; and

provide a pointer to selected items of the data that have been stored for the identified first trend.

16. The network node of claim 15 , wherein the processor is to discard other data not associated with the identified first trend.

17. The network node of claim 15 , wherein the processor is to further:

store the selected items in a first type of data structure in response to determining the attribute is associated with a flat trend; and

store the selected items of the data in a tree structure in response to determining that the attribute is associated with a hierarchical trend.

18. The network node of claim 15 , wherein the customized information includes targeted advertising information.

19. The network node of claim 15 , wherein the obtaining comprises receiving the customized information from a second server.

20. The network node of claim 19 , wherein the processor is further configured to send the identified first trend to the second server.

21. The network node of claim 15 , wherein the obtaining comprises selecting the customized information based on the identified first trend.

22. The method of claim 1 , wherein the wireless communications network node is associated with an advertisement module.

23. The method of claim 1 , wherein the wireless communications network node comprises an advertisement module.

24. The method of claim 1 , wherein the wireless communications network node is in communication with an advertisement module.

25. The network of claim 15 , wherein the communications network is associated with an advertisement module.

26. The method of claim 15 , wherein the communications network comprises an advertisement module.

27. The method of claim 15 , wherein the communications network is in communication with an advertisement module.

Assignments (6)
NUNC PRO TUNC ASSIGNMENT Recorded Jun 19, 2023
From: BLACKBERRY LIMITED
To: MALIKIE INNOVATIONS LIMITED
Reel/Frame 064271/0199 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 16, 2023
From: BLACKBERRY LIMITED
To: MALIKIE INNOVATIONS LIMITED
Reel/Frame 064104/0103 →
CHANGE OF NAME Recorded Oct 8, 2013
From: RESEARCH IN MOTION LIMITED
To: BLACKBERRY LIMITED
Reel/Frame 031393/0515 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 16, 2012
From: NORTEL NETWORKS LIMITED
To: ROCKSTAR BIDCO, LP
Reel/Frame 028966/0134 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 16, 2012
From: ROCKSTAR BIDCO, LP
To: 2256355 ONTARIO LIMITED
Reel/Frame 028966/0340 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 16, 2012
From: 2256355 ONTARIO LIMITED
To: RESEARCH IN MOTION LIMITED
Reel/Frame 028966/0359 →