SYSTEM AND METHOD FOR ENHANCING COMMUNICATION SERVICES BASED ON USER BEHAVIOR AND RELATIVE TRENDING PATTERNS

• US 20130144682A1
• Filed: 12/01/2011
• Published: 06/06/2013
• Est. Priority Date: 12/01/2011
• Status: Abandoned Application

• Current Assignee: Avaya Incorporated
• Original Assignee: Avaya Incorporated
• Inventors: Dhara, Krishna Kishore, Krishnaswamy, Venkatesh, Katre, Prasad Vishwas
• Application Number:
  US13/308,832
• Publication Number:
  US 20130144682A1
• Time in Patent Office: Days
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/107 Computer-aided management of electronic mailing [e-mailing]
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Disclosed herein are systems, methods, and non-transitory computer-readable storage media for enhancing communication services based on relative trending. A system configured to practice the method identifies, from a set of historical communication data associated with a user, relative trending data. Based on the relative trending data, the system identifies a plurality of communication periods within the historical communication data. For a time series associated with one of the communication periods, the system identifies a relative trending pattern in the relative trending data, and performs an action based on a comparison of current communication data to the relative trending pattern for a respective communication period. The communication period can be a fixed, recurring duration of time. The relative trending data is typically associated with at least one variable, which may be, for example, a second user. The system can identify and use trend peaks, patterns, and confidence levels in this approach.

Claims

1. A method comprising:

identifying, from a set of historical communication data associated with a user, relative trending data;

based on the relative trending data, identifying a plurality of communication periods within the historical communication data;

for a time series associated with one of the communication periods, identifying a relative trending pattern in the relative trending data; and

performing an action based on a comparison of current communication data to the relative trending pattern for a respective communication period.

2. The method of claim 1, wherein a communication period is a fixed, recurring duration of time.

3. The method of claim 1, wherein the relative trending data is associated with at least one variable.

4. The method of claim 3, wherein the variable is associated with a second user.

5. The method of claim 1, further comprising, for each of the communication periods, steps comprising:

selecting a day within the historical communication data;

identifying a trend peak in a segment of the day;

searching for similar peaks at corresponding segments in other days before and after the day to identify a pattern, and computing a confidence level for the pattern; and

reporting the pattern and the confidence level.

6. The method of claim 1, wherein the action comprises displaying a view of users experiencing above normal communication activity.

7. The method of claim 1, wherein the action comprises identifying a set of users associated with the relative trending pattern, and displaying at least a portion of the set of users to the user as indicated by a similarity of the current communication data to the relative trending pattern.

8. The method of claim 1, wherein the action further comprises:

analyzing relative trending patterns of a plurality of users associated with a group activity;

identifying shared periods of availability for the plurality of users; and

displaying a summary of the shared periods of availability to at least one of the plurality of users.

9. A system comprising:

a processor;

a memory storing instructions for controlling the processor to perform steps comprising;

identifying, from a set of historical communication data associated with a user, relative trending data;

based on the relative trending data, identifying a plurality of communication periods within the historical communication data;

for a time series associated with one of the communication periods, identifying a relative trending pattern in the relative trending data; and

performing an action based on a comparison of current communication data to the relative trending pattern for a respective communication period.

10. The system of claim 9, wherein a communication period is a fixed, recurring duration of time.

11. The system of claim 9, wherein the relative trending data is associated with at least one variable.

12. The system of claim 11, wherein the variable is associated with a second user.

13. The system of claim 9, further comprising, for each of the communication periods, steps comprising:

selecting a day within the historical communication data;

identifying a trend peak in a segment of the day;

searching for similar peaks at corresponding segments in other days before and after the day to identify a pattern, and computing a confidence level for the pattern; and

reporting the pattern and the confidence level.

14. The system of claim 9, wherein the action comprises displaying a view of users experiencing above normal communication activity.

15. The system of claim 9, wherein the action comprises identifying a set of users associated with the relative trending pattern, and displaying at least a portion of the set of users to the user as indicated by a similarity of the current communication data to the relative trending pattern.

16. The system of claim 9, wherein the action further comprises:

analyzing relative trending patterns of a plurality of users associated with a group activity;

identifying shared periods of availability for the plurality of users; and

displaying a summary of the shared periods of availability to at least one of the plurality of users.

17. A non-transitory computer-readable storage medium storing instructions which, when executed by a computing device, cause the computing device to perform steps comprising:

identifying, from a set of historical communication data associated with a user, relative trending data;

based on the relative trending data, identifying a plurality of communication periods within the historical communication data;

for a time series associated with one of the communication periods, identifying a relative trending pattern in the relative trending data; and

performing an action based on a comparison of current communication data to the relative trending pattern for a respective communication period.

18. The non-transitory computer-readable storage medium of claim 17, wherein the action comprises displaying a view of users experiencing above normal communication activity.

19. The non-transitory computer-readable storage medium of claim 17, wherein the action comprises identifying a set of users associated with the relative trending pattern, and displaying at least a portion of the set of users to the user as indicated by a similarity of the current communication data to the relative trending pattern.

20. The non-transitory computer-readable storage medium of claim 17, wherein the action further comprises:

analyzing relative trending patterns of a plurality of users associated with a group activity;

identifying shared periods of availability for the plurality of users; and

displaying a summary of the shared periods of availability to at least one of the plurality of users.