SYSTEM AND METHOD FOR CONTEXT-SENSITIVE ADDRESS BOOK

• US 20130254233A1
• Filed: 03/20/2012
• Published: 09/26/2013
• Est. Priority Date: 03/20/2012
• Status: Abandoned Application

• Current Assignee: Avaya Incorporated
• Original Assignee: Avaya Incorporated
• Inventors: Fagundes, Luciano Godoy, Kohler, Joylee E., Moran, Thomas J., Desai, Dhaval
• Application Number:
  US13/424,407
• Publication Number:
  US 20130254233A1
• Time in Patent Office: Days
• US Class Current: 707/776
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

System and method to provide a self-organizing, context aware address book, the method including: receiving sensor data about a status of a user; receiving external data about a status of predetermined contacts of the user; data mining the external data based upon the sensor data and entries within the address book; calculating a respective likelihood value to at least a portion of the entries within the address book; determining a prominence for the portion of entries within the address book; and displaying the portion of entries within the address book with the prominence.

Claims

1. A method to provide a self-organizing, context aware address book, comprising:

receiving external data about a status of a predetermined contact of the user, wherein the received external data comprising social contextual information from a plurality of social networking sites;

data mining the external data based upon the sensor data and contacts in the address book;

calculating a respective likelihood value of at least a portion of the contacts in the address book based upon the data mined related to the social contextual information gathered from the plurality of social networking sites;

determining a prominence for the portion of contacts of the address book; and

displaying the portion of entries of the address book with the prominence.

2. The method of claim 1, further comprising:

receiving sensor data about a status of a user; and

calculating a respective likelihood value of at least a portion of the contacts of the address book based upon the sensor data.

3. The method of claim 1, wherein the sensor data comprises GPS data.

4. The method of claim 1, further comprising:

receiving information via short range wireless transmissions; and

calculating a respective likelihood value of at least a portion of the contacts of the address book based upon the information received via the short range wireless transmissions.

5. The method of claim 1, wherein the prominence comprises a sorted order of display.

6. The method of claim 1, wherein the external data comprises data gathered from a social or business networking site.

7. The method of claim 1, wherein data mining comprising analyzing textual external data gathered from a social or business networking site.

8. The method of claim 1, wherein calculating a respective likelihood value comprises correlating the data mined with attributes of contacts of the address book.

9. The method of claim 1, wherein the data mining is based upon contents of the address book.

19. The method of claim 1, wherein the plurality of social networking sites comprising Facebook, Twitter, LinkedIn, Yelp, and foursquare.

20. The method of claim 1, wherein the social contextual information comprises a status, an activity, membership in an affinity group, likes, a preference, and a need of a user.

10. A system to provide a self-organizing, context aware address book, comprising:

a data interface configured to receive external data about a status of a predetermined contact of the user, wherein the received external data comprising social contextual information from a plurality of social networking sites;

a data mining module configured to data mining the external data based upon the sensor data and contacts in the address book;

a calculation module configured to calculate a respective likelihood value of at least a portion of the contacts in the address book based upon the data mined related to the social contextual information gathered from the plurality of social networking sites;

a processor configured to determine a prominence for the portion of contacts of the address book; and

a display configured to display the portion of entries of the address book with the prominence.

11. The system of claim 10, further comprising:

a data interface configured to receive sensor data about a status of a user; and

a calculation module configured to calculate a respective likelihood value of at least a portion of the contacts of the address book based upon the sensor data.

12. The system of claim 10, wherein the sensor data comprises GPS data.

13. The system of claim 10, further comprising:

a data interface configured to receive information via short range wireless transmissions; and

a calculation module configured to calculate a respective likelihood value of at least a portion of the contacts of the address book based upon the information received via the short range wireless transmissions.

14. The system of claim 10, wherein the prominence comprises a sorted order of display.

15. The system of claim 10, wherein the external data comprises data gathered from a social or business networking site.

16. The system of claim 10, wherein the data mining module comprises a module configured to analyze textual external data gathered from a social or business networking site.

17. The system of claim 10, wherein the calculation module comprises a module configured to correlate the data mined with attributes of contacts of the address book.

18. The system of claim 10, wherein the data mining module is configured to data mine based upon contents of the address book.