PROVIDING GEOSPATIAL-TEMPORAL NEXT-BEST-ACTION DECISIONS

• US 20140365305A1
• Filed: 06/10/2013
• Published: 12/11/2014
• Est. Priority Date: 06/10/2013
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Herman, Norbert, Lambert, Daniel T., Arditi, Yoel
• Application Number:
  US13/913,634
• Publication Number:
  US 20140365305A1
• Time in Patent Office: Days
• US Class Current: 705/14.58
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute

Abstract

Embodiments herein provide geospatial-temporal next-best-action decisions. Specifically, a predictive modeling tool is configured to receive, from a user, a first instance of unstructured data, the unstructured data containing an indicator of a transacting opportunity, and generate a profile for the user by combining the unstructured data with structured data, the profile including personality characteristics and identifying information of the user. The profile is used to identify the user as a producer of a second instance of unstructured data by comparing the personality characteristics and identifying information of the user to the second instance of unstructured data. A commercial offer is then generated based on information from the profile of the user and at least one of the first instance of unstructured data or the second instance of unstructured data, and the offer is communicated to the user when the user is located within a predetermined proximity to a retailer.

Claims

1. A method for providing geospatial-temporal next-best-action decisions, the method comprising the computer-implemented steps of:

receiving, from a user, a first instance of unstructured data, the unstructured data containing an indicator of a transacting opportunity;

generating a profile for the user by combining the unstructured social data with structured data, the profile comprising personality characteristics of the user and identifying information of the user;

identifying the user as a producer of a second instance of unstructured data by comparing the personality characteristics of the user and the identifying information of the user to the second instance of unstructured data;

generating a commercial offer based on the profile of the user and at least one of;

the first instance of unstructured data, and the second instance of unstructured data; and

initiating to communicate the commercial offer to the user when the user is located within a predetermined proximity to a retailer.

2. The method according to claim 1, wherein the indicator of a transacting opportunity comprises at least one of:

sentiment of the user towards a product, personality traits of the user, and emotional state of the user.

3. The method according to claim 1, wherein the indicator of a transacting opportunity comprises one or more indicators generated from a message sent to a social media application.

4. The method according to claim 3, the communicating the commercial offer to the user comprising at least one of:

generating a message within the social media application, sending a short-message-system (SMS) text, and sending an electronic message (e-mail) to a mobile device of the user.

5. The method according to claim 1, further comprising:

receiving temporal data corresponding to the indicator of the transacting opportunity; and

receiving spatio-temporal data corresponding to the user, wherein the commercial offer is generated based on information from the temporal data corresponding to the indicator of a transacting opportunity and the spatio-temporal data corresponding to the user.

6. The method according to claim 1, further comprising:

receiving a shared pool of anonymized data, wherein the user profile is generated based on information from the unstructured data, the structured data, and the shared pool of anonymized data.

7. The method according to claim 6, further comprising:

receiving telecommunications data corresponding to the user, wherein the user profile is generated based on information from the unstructured social data, the structured data, the shared pool of anonymized data, and the telecommunications data.

8. The method according to claim 1, further comprising:

receiving a set of communication permission settings established by the user, wherein the commercial offer is communicated to the user according to the set of communication permission settings.

9. A computer system for providing geospatial-temporal next-best-action decisions, the system comprising:

at least one processing unit;

memory operably associated with the at least one processing unit; and

a predictive modeling tool storable in memory and executable by the at least one processing unit, the predictive modeling tool comprising;

an analyzing component configured to receive, from a user, a first instance of unstructured data, the unstructured data containing an indicator of a transacting opportunity;

a resolution component configured to;

generate a profile for the user by combining the unstructured social data with structured data, the profile including personality characteristics of the user and identifying information of the user; and

identify the user as a producer of a second instance of unstructured data by comparing the personality characteristics of the user and the identifying information of the user to the second instance of unstructured data; and

an offering component configured to;

generate a commercial offer based on the profile of the user and at least one of;

the first instance of unstructured data, and the second instance of unstructured data; and

initiate to communicate the commercial offer to the user when the user is located within a predetermined proximity to a retailer.

10. The computer system according to claim 9, wherein the indicator of a transacting opportunity comprises one or more indicators generated from a message sent to a social media application, and wherein the indicator of the transacting opportunity comprises at least one of:

sentiment of the user towards a product, personality traits of the user, and emotional state of the user.

11. The computer system according to claim 10, the offering component further configured to communicate the commercial offer according to a set of communication permission settings established by the user, wherein the commercial offer is communicated to the user via at least one of:

a message generated within the social media application, a short-message-system (SMS) text, and an electronic message (e-mail) to a mobile device of the user.

12. The computer system according to claim 9, the analyzing component further configured to:

receive temporal data corresponding to the indicator of the transacting opportunity; and

receive spatio-temporal data corresponding to the user, wherein the commercial offer is generated based on information from the temporal data corresponding to the indicator of the transacting opportunity and the spatio-temporal data corresponding to the user.

13. The computer system according to claim 9, the resolution component further configured to receive a shared pool of anonymized data corresponding to the user, wherein the user profile is generated based on information from the unstructured social data, the structured data, and the shared pool of anonymized data.

14. The computer system according to claim 13, the resolution component further configured to receive telecommunications data corresponding to the user, wherein the user profile is generated based on information from the unstructured social data, the structured data, the shared pool of anonymized data, and the telecommunications data.

15. A computer-readable storage medium storing computer instructions, which when executed, enables a computer system to provide geospatial-temporal next-best-action decisions, the computer instructions comprising:

receiving, from a user, a first instance of unstructured data, the unstructured data containing an indicator of a transacting opportunity;

generating a profile for the user by combining the unstructured social data with structured data, the profile comprising personality characteristics of the user and identifying information of the user;

identifying the user as a producer of a second instance of unstructured data by comparing the personality characteristics of the user and the identifying information of the user to the second instance of unstructured data;

generating a commercial offer based on the profile of the user and at least one of;

the first instance of unstructured data, and the second instance of unstructured data; and

initiating to communicate the commercial offer to the user when the user is located within a predetermined proximity to a retailer.

16. The computer-readable storage medium according to claim 15, wherein the indicator of a transacting opportunity comprises one or more indicators generated from a message sent to a social media application, and wherein the indicator of the transacting opportunity comprises at least one of:

sentiment of the user towards a product, personality traits of the user, and emotional state of the user.

17. The computer-readable storage medium according to claim 16, the computer instructions for communicating further comprising communicating the commercial offer according to a set of communication permission settings established by the user, wherein the commercial offer is communicated to the user via at least one of:

a message generated within the social media application, a short-message-system (SMS) text, and an electronic message (e-mail) to a mobile device of the user.

18. The computer-readable storage medium according to claim 15, the computer instructions further comprising:

receiving temporal data corresponding to the indicator of the transacting opportunity; and

receiving spatio-temporal data corresponding to the user, wherein the commercial offer is generated based on information from the temporal data corresponding to the indicator of the transacting opportunity and the spatio-temporal data corresponding to the user.

19. The computer-readable storage medium according to claim 15, the computer instructions further comprising receiving a shared pool of anonymized data corresponding to the user, wherein the profile is generated based on information from the unstructured social data, the structured data, and the shared pool of anonymized data.

20. The computer-readable storage medium according to claim 19, the computer instructions further comprising receiving telecommunications data corresponding to the user, wherein the user profile is generated based on information from the unstructured social data, the structured data, the shared pool of anonymized data, and the telecommunications data.