SEQUENTIAL BEHAVIOR-BASED CONTENT DELIVERY

• US 20150373132A1
• Filed: 06/16/2015
• Published: 12/24/2015
• Est. Priority Date: 06/19/2014
• Status: Active Grant

• Current Assignee: Samsung Electronics Co. Ltd.
• Original Assignee: Samsung Electronics Co. Ltd.
• Inventors: Mukherji, Abhishek, Srinivasan, Vijay, Sudarsan, Satheesh, Sidhu, Shalinder Singh
• Granted Patent: US 9,871,876 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 67/01 Protocols
• CPC Class Codes: H04L 67/10 in which an application is distributed across nodes in the network software deployment G06F8/60; multiprogramming arrangements G06F9/46
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

Providing sequential behavior-based content may include detecting, using a processor, an event sequence involving at least one device of a user, wherein the event sequence includes a current event and a prior event, correlating, using the processor, the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user, and predicting, using the processor, a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern. Responsive to predicting the next event, content relating to the next event may be provided to the device using the processor.

Claims

1. A method, comprising:

detecting, using a processor, an event sequence involving at least one device of a user, wherein the event sequence comprises a current event and a prior event;

correlating, using the processor, the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user;

predicting, using the processor, a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern; and

responsive to predicting the next event, providing content relating to the next event to the device user using the processor.

2. The method of claim 1, further comprising:

generating a plurality of sequential patterns from logs of the at least one user device; and

determining selected ones of the plurality of sequential patterns as frequent sequential patterns.

3. The method of claim 1, wherein providing the content comprises:

determining a modality for delivering the content to the device of the user according to the current event.

4. The method of claim 1, wherein providing the content comprises:

estimating a start time of the next event; and

delivering the content prior to the estimated start time of the next event.

5. The method of claim 1, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to frequency.

6. The method of claim 1, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to recency.

7. The method of claim 1, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to specificity.

8. A system, comprising:

a processor programmed to initiate executable operations comprising;

detecting an event sequence involving at least one device of a user, wherein the event sequence comprises a current event and a prior event;

correlating the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user;

predicting a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern; and

responsive to predicting the next event, providing content relating to the next event to the device.

9. The system of claim 8, wherein the processor is programmed to initiate further executable operations comprising:

generating a plurality of sequential patterns from logs of the at least one user device; and

determining selected ones of the plurality of sequential patterns as frequent sequential patterns.

10. The system of claim 8, wherein providing the content comprises:

determining a modality for delivering the content to the device of the user according to the current event.

11. The system of claim 8, wherein providing the content comprises:

estimating a start time of the next event; and

delivering the content prior to the estimated start time of the next event.

12. The system of claim 8, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to frequency.

13. The system of claim 8, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to recency.

14. The system of claim 8, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to specificity.

15. A computer program product comprising a computer readable storage medium having program code stored thereon, the program code executable by a processor to perform a method comprising:

detecting an event sequence involving at least one device of a user, wherein the event sequence comprises a current event and a prior event;

correlating the event sequence with a frequent sequential pattern selected from a plurality of frequent sequential patterns associated with the user;

predicting a next event for the user according to a plurality of ordered events specified by the selected frequent sequential pattern; and

responsive to predicting the next event, providing content relating to the next event to the device.

16. The computer program product of claim 15, wherein the method further comprises:

generating a plurality of sequential patterns from logs of the at least one user device; and

determining selected ones of the plurality of sequential patterns as frequent sequential patterns.

17. The computer program product of claim 15, wherein providing the content comprises:

determining a modality for delivering the content to the device of the user according to the current event.

18. The computer program product of claim 15, wherein providing the content comprises:

estimating a start time of the next event; and

delivering the content prior to the estimated start time of the next event.

19. The computer program product of claim 15, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to frequency.

20. The computer program product of claim 15, wherein correlating comprises:

disambiguating between at least two of the plurality of frequent sequential patterns according to recency;

or

disambiguating between at least two of the plurality of frequent sequential patterns according to specificity.