Correlation of Psycho-Demographic Data and Social Network Data to Initiate an Action

• US 20100153175A1
• Filed: 12/12/2008
• Published: 06/17/2010
• Est. Priority Date: 12/12/2008
• Status: Abandoned Application

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Pearson, Larry B., Wohlert, Randolph
• Application Number:
  US12/334,172
• Publication Number:
  US 20100153175A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 51/00 User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
• CPC Class Codes: H04L 51/216 Handling conversation history, e.g. grouping of messages in sessions or threads
• CPC Class Codes: H04L 51/234 for tracking messages
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

An action is initiated based on data collected from a social network of a user. User data is collected automatically from activity of the user. Social data is collected from the user'"'"'s social network. The social data includes information obtained from the activity of at least one second or greater order indirect member of the social network relative to the user. The user data, social data, and the psycho-demographic data are correlated to initiate the action.

Claims

1. A method, implemented in a data processing system, for initiating an action based on data collected from a social network of a user, the method comprising:

collecting user data, wherein the user data comprises user-provided information and information obtained automatically from activity of the user;

storing, in at least one memory, psycho-demographic data;

collecting social data from the social network, wherein the social data comprises information obtained from activity of at least two members of the social network, the at least two members comprising at least one friend of the user and at least one second or greater order indirect member of the social network relative to the user;

correlating, using at least one processor, the user data, the social data, and the psycho-demographic data; and

initiating the action based on the correlating.

2. The method of claim 1, wherein the action comprises presenting, using a display, information to the user.

3. The method of claim 2, wherein:

the correlating comprises calculating a relative interest index for each of a plurality of information elements; and

the presenting information to the user comprises selecting at least one element, from the plurality of information elements, for display to the user based on the relative interest index for each of the plurality of information elements.

4. The method of claim 3, wherein the relative interest index is based on at least one of the following:

the time duration of an activity, the frequency of an activity, the geographic location of a person or entity, and the timeliness of an activity.

5. The method of claim 1, wherein:

the activity of the user comprises a plurality of phone calls by the user;

the collecting user data comprises monitoring speech during the plurality of phone calls and converting the speech to text; and

the user data further comprises information from the text.

6. The method of claim 1, wherein:

the activity of the user comprises a plurality of phone calls by the user;

the collecting user data comprises obtaining information from call history logs for the plurality of phone calls by the user; and

the user data further comprises the information from the call history logs.

7. The method of claim 1 wherein:

the activity of the at least two members of the social network comprises a plurality of phone calls by the at least two members;

the collecting social data comprises obtaining information from call history logs for the plurality of phone calls by the at least two members; and

the social data further comprises the information from the call history logs for the at least two members.

8. The method of claim 1, further comprising:

gathering electronic data regarding at least one resource available to the user, wherein the at least one resource is selected from at least one of the following;

a mobility resource, a communication resource, a device resource, and a calendar availability; and

wherein the initiating of the action is based in part on the electronic data regarding the at least one resource.

9. The method of claim 1, further comprising:

gathering mood information from the social network; and

wherein the initiating of the action is based in part on the mood information.

10. The method of claim 1, wherein the at least two members of the social network share at least one common relationship to the user data.

11. The method of claim 10, wherein the at least one common relationship comprises geographic proximity.

12. The method of claim 10, wherein the at least one common relationship comprises at least one of the following:

a uniform resource locator, a contact name, a calendar date, an area code, and a text string.

13. The method of claim 1, wherein the social data comprises psycho-demographic information about the at least two members of the social network.

14. The method of claim 1, wherein the at least one second or greater order indirect member of the social network comprises two or more members of the social network having at least one item of psycho-demographic information in common.

15. The method of claim 1, wherein the information obtained automatically from activity of the user comprises at least one of the following:

information regarding purchases made by the user, websites browsed by the user, and text from electronic communications of the user.

16. The method of claim 1, wherein:

the activity of the at least two members of the social network comprises activity associated with a product; and

the action comprises presenting an advertisement for the product to the user.

17. The method of claim 1, wherein the psycho-demographic data comprises data from electronic commerce transactions for a group having a size greater than ten thousand persons.

18. The method of claim 1, wherein the psycho-demographic data comprises data from search inquiries for a group having a size greater than ten thousand persons.

19. The method of claim 1, wherein:

the psycho-demographic data comprises data from transactions of at least two persons for a product;

the activity of the at least two members of the social network comprises purchase activity associated with the product; and

the action comprises presenting information about the product to the user.

20. A machine readable media embodying instructions, the instructions causing a data processing system to perform a method for initiating an action based on data collected from a social network of a user, the method comprising:

collecting user data, wherein the user data comprises user-provided information and information obtained automatically from activity of the user;

storing psycho-demographic data;

collecting social data from the social network, wherein the social data comprises information obtained from activity of at least two members of the social network, the at least two members comprising at least one friend of the user and at least one second or greater order indirect member of the social network relative to the user;

correlating the user data, the social data, and the psycho-demographic data; and

initiating the action based on the correlating.

21. A data processing system for initiating an action based on data collected from a social network of a user, the system comprising:

means for collecting user data, wherein the user data comprises user-provided information and information obtained automatically from activity of the user;

at least one memory to store psycho-demographic data;

means for collecting social data from the social network, wherein the social data comprises information obtained from activity of at least two members of the social network, the at least two members comprising at least one friend of the user and at least one second or greater order indirect member of the social network relative to the user;

at least one processor configured to correlate the user data, the social data, and the psycho-demographic data; and

means for initiating the action based on the correlating.