METHODS, APPARATUS AND SYSTEMS USING PROBABILISTIC TECHNIQUES IN TRENDING AND PROFILING

• US 20110264613A1
• Filed: 06/20/2011
• Published: 10/27/2011
• Est. Priority Date: 12/15/2009
• Status: Abandoned Application

• Current Assignee: Chieh-Yih Wan, Giuseppe Raffa, Lenitra M. Durham, Mark D. Yarvis, Philip Muse, Rita H. Wouhaybi, Sai P. Balasundaram, Sangita Sharma
• Original Assignee: Chieh-Yih Wan, Giuseppe Raffa, Lenitra M. Durham, Mark D. Yarvis, Philip Muse, Rita H. Wouhaybi, Sai P. Balasundaram, Sangita Sharma
• Inventors: Yarvis, Mark D., Wan, Chieh-Yih, Raffa, Giuseppe, Sharma, Sangita, Balasundaram, Sai P., Wouhaybi, Rita H., Muse, Philip, Durham, Lenitra M.
• Application Number:
  US13/163,949
• Publication Number:
  US 20110264613A1
• Time in Patent Office: Days
• US Class Current: 706/12
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

An embodiment of the present invention provides a mobile device, comprising a processor adapted to use probabilistic techniques in trending and profiling of a user of the mobile device'"'"'s behavior in order to offer recommendations by detecting patterns in the user behavior over time and thereby enabling said mobile device to predict what the user is likely to do on a given day or what the user intends to accomplish in an action that has begun.

Claims

1. A method of using probabilistic techniques in trending and profiling of user behavior in order to offer recommendations, comprising:

detecting patterns in user behavior over time thereby enabling a personal device associated with said user to predict what said user is likely to do on a given day or what said user intends to accomplish in an action that has begun.

2. The method of claim 1, wherein based on said patterns detected, said personal device can tailor its interfaces or proactively act on a user'"'"'s behalf.

3. The method of claim 1, further comprising creating a definition of each activity performed by said users and determining features and commonalities among these activities that are then extracted.

4. The method of claim 3, wherein transitions from one activity to another are assigned a probability based on the data collected and wherein said probability constitutes a score that can be used to influence recommendations that reflect a prediction of what said user is likely to do next.

5. The method of claim 4, wherein discovering patterns include a goal which includes specific things that happen at specific times over and over again and inputs include location, timing and people nearby.

6. An apparatus, comprising:

a personal device associated with a user adapted to use probabilistic techniques in trending and profiling of user behavior in order to offer recommendations by detecting patterns in user behavior over time thereby enabling a personal device associated with said user to predict what said user is likely to do on a given day or what said user intends to accomplish in an action that has begun.

7. The apparatus of claim 6, wherein based on said patterns detected said personal device can tailor its interfaces or proactively act on said user'"'"'s behalf.

8. The apparatus of claim 6, further comprising said persona device adapted to create a definition of each activity performed by said users and determining features and commonalities among these activities that are then extracted.

9. The apparatus of claim 8, wherein transitions from one activity to another are then assigned a probability based on the data collected and wherein said probability constitutes a score that can be used to influence recommendations that reflect a prediction of what said user is likely to do next.

10. The apparatus of claim 9, wherein discovering patterns include a goal which includes specific things that happen at specific times over and over again and inputs include location, timing and people nearby.

11. A non-volatile computer readable medium encoded with computer executable instructions, which when accessed, cause a machine to perform operations comprising:

using probabilistic techniques in trending and profiling of user behavior in order to offer recommendations by detecting patterns in said user behavior over time thereby enabling said personal device associated with said user to predict what said user is likely to do on a given day or what said user intends to accomplish in an action that has begun.

12. The non-volatile computer readable medium encoded with computer executable instructions apparatus of claim 11, wherein based on said patterns detected said personal device can tailor its interfaces or proactively act on said user'"'"'s behalf.

13. The non-volatile computer readable medium of claim 12, further comprising additional instructions causing said machine to perform further operations including creating a definition of each activity performed by said users and determining features and commonalities among these activities that are then extracted.

14. The non-volatile computer readable medium of claim 13, wherein transitions from one activity to another are then assigned a probability based on the data collected and wherein said probability constitutes a score that can be used to influence recommendations that reflect a prediction of what said user is likely to do next.

15. The computer readable medium of claim 14, wherein discovering patterns include a goal which includes specific things that happen at specific times over and over again and inputs include location, timing and people nearby.

16. A mobile device, comprising:

a processor adapted to use probabilistic techniques in trending and profiling of a user of said mobile device'"'"'s behavior in order to offer recommendations by detecting patterns in said user behavior over time thereby enabling said mobile device to predict what said user is likely to do on a given day or what said user intends to accomplish in an action that has begun.

17. The mobile device of claim 16, wherein based on said patterns detected said mobile device, said mobile device can tailor its interfaces or proactively act on said user'"'"'s behalf.

18. The mobile device of claim 16, wherein said mobile device is adapted to create a definition of each activity performed by said user and determine features and commonalities among these activities that are then extracted.

19. The mobile device of claim 18, wherein transitions from one activity to another are then assigned a probability based on the data collected and wherein said probability constitutes a score that can be used to influence recommendations that reflect a prediction of what said user is likely to do next.

20. The mobile device of claim 19, wherein discovering patterns include a goal which includes specific things that happen at specific times over and over again and inputs include location, timing and people nearby.