PERSONALIZED CONTENT AND SERVICES BASED ON PROFILE INFORMATION

• US 20170086029A1
• Filed: 09/18/2015
• Published: 03/23/2017
• Est. Priority Date: 09/18/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Abrahams, Faried, Dhondse, Amol A., Holley, Kerrie L., Pikle, Anand, Sivakumar, Gandhi, Thomas, Lennox E.
• Granted Patent: US 10,341,459 B2
• Time in Patent Office: Days
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

An approach includes a system implemented in a computer infrastructure including a processor. The approach further includes the processor configured to receive dimensionally aware linkages. The approach further includes the processor configured to retrieve aggregated data from a data set. The approach further includes the processor configured to identify at least one affinity cluster related to the dimensionally aware linkages in at least two dimensions and the retrieved aggregated data by performing at least one lookup linkage which matches at least one dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data. The approach further includes the processor configured to provide personalized content to a user having same or similar user preferences as the received dimensionally aware linkages based on the identified at least one affinity cluster.

Claims

1. A system implemented in a computer infrastructure including a processor configured to:

receive, by the processor, dimensionally aware linkages in at least two dimensions including a time period and a location on a geospatial map;

retrieve, by the processor, aggregated data from a data set of mobile data, social media data, Internet data, private network data, and cloud computing data;

identify, by the processor, at least one affinity cluster related to the dimensionally aware linkages in the at least two dimensions and the retrieved aggregated data by performing at least one lookup linkage which matches at least one dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data; and

provide, by the processor, personalized content to a user having same or similar user preferences as the received dimensionally aware linkages based on the identified at least one affinity cluster,

wherein the dimensionally aware linkages associate the time period and the location together to form linkages in the at least two dimensions.

2. The system of claim 1, wherein the data set further comprises machine-generated data, navigational data, and vehicle data.

3. The system of claim 1, wherein the at least two dimensions further comprises a profile set and a subject.

4. The system of claim 1, wherein the personalized content comprises at least one of an audio selection, a video selection, a television program, and a campaign.

5. The system of claim 1, wherein the processor configured to identify the at least one affinity cluster further comprises:

performing first lookup linkages which match a first dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data;

identifying a first affinity cluster related to the first dimension of the dimensionally aware linkages in response to a number of matches of the first dimension of the dimensionally aware linkages exceeding a first predetermined threshold;

performing second lookup linkages which match a second dimension of the at least two dimensions of the dimensionally aware linkages with the retrieved aggregated data;

identifying a second affinity cluster related to the second dimension of the dimensionally aware linkages in response to a number of matches of the second dimension of the dimensionally aware linkages exceeding a second predetermined threshold; and

providing the personalized content based on the identified at least one affinity cluster which comprises the first affinity cluster and the second affinity cluster.

6. The system of claim 5, wherein the processor configured to identify the at least one affinity cluster further comprises:

broadening the first dimension of the dimensionally aware linkages in response to the number of matches of the first dimension of the dimensionally aware linkages not exceeding the first predetermined threshold and reevaluating the broader first dimension to identify the first affinity cluster; and

broadening the second dimension of the dimensionally aware linkages in response to the number of matches of the second dimension of the dimensionally aware linkages not exceeding the second predetermined threshold and reevaluating the broader second dimension to identify the second affinity cluster.

7. The system of claim 1, wherein the processor is further configured to increase a confidence level of the identified at least one affinity cluster for providing the personalized content in response to a number of matches of the at least one dimension of the dimensionally aware linkages exceeding a predetermined threshold.

8. The system of claim 1, wherein the processor is further configured to decrease a confidence level of the identified at least one affinity cluster for providing the personalized content in response to a number of matches of the at least one dimension of the dimensionally aware linkages not exceeding a predetermined threshold.

9. The system of claim 1, wherein the processor is further configured to associate at least one of a subject and a profile set to the identified at least one affinity cluster based on the dimensionally aware linkages in the at least two dimensions and the retrieved aggregated data in order to provide the personalized content to the user having same or similar user preferences as the received dimensionally aware linkages.

10. A method comprising:

receiving, by a computer processor, a request for a profile affinity which comprises at least two dimensions including a time period and a location on a geospatial map;

comparing, by the computer processor, at least one dimension of the profile affinity which comprises the at least two dimensions with aggregated data in order to find a match between the at least one dimension of the profile affinity which comprises the at least two dimensions and the aggregated data;

increasing, by the computer processor, a confidence level for providing personalized content in response to the match existing between the at least one dimension of the profile affinity and the aggregated data; and

decreasing, by the computer processor, the confidence level for providing the personalized content in response to the match not existing between the at least one dimension of the profile affinity and the aggregated data,

wherein the aggregated data comprises a data set of mobile data, social media data, Internet data, private network data, and cloud computing data, and

wherein the profile affinity associates the time period and the location together to form linkages in the at least two dimensions.

11. The method of claim 10, wherein the at least two dimensions further comprises a profile set and a subject.

12. The method of claim 10, further comprising retrieving linked affinity clusters in response to the match existing between the at least one dimension of the profile affinity and the aggregated data.

13. The method of claim 10, further comprising:

broadening the at least one dimension of the profile affinity in response to the match not existing between the at least one dimension of the profile affinity and the aggregated data; and

retrieving linked affinity clusters in response to a match existing between the broadened at least one dimension of the profile affinity and the aggregated data.

14. The method of claim 10, wherein the personalized content comprises at least one of an audio selection, a video selection, a television program, and a campaign.

15. A computer program product for providing at least one service, the computer program product comprising a computer readable hardware storage device having readable program code stored thereon, the program code comprising:

first program code executable by a processor to obtain dimensionally aware linkages in at least two dimensions including a time period and a location on a geospatial map;

second program code executable by the processor to obtain aggregate data from a data set of mobile data, social media data, Internet data, private network data, and cloud computing data;

third program code executable by the processor to identify at least one affinity cluster related to the dimensionally aware linkages in the at least two dimensions and the obtained aggregated data by performing at least one lookup linkage which matches at least one dimension of the at least two dimensions of the dimensionally aware linkages with the obtained aggregated data; and

fourth program code executable by the processor to provide the at least one service to a user having same or similar user preferences as the obtained dimensionally aware linkages based on the identified at least one affinity cluster,

wherein the dimensionally aware linkages associate the time period and the location together to form linkages in the at least two dimensions.

16. The computer program product of claim 15, wherein the data set further comprises machine-generated data, navigational data, and vehicle data.

17. The computer program product of claim 15, wherein the at least one service comprises at least one of an insight, a recommendation, and an alert.

18. The computer program product of claim 15, wherein the program code further comprises a fifth program code to increase a confidence level of the identified at least one affinity cluster for providing the at least one service in response to a number of matches of the at least one dimension of the dimensionally aware linkages exceeding a predetermined threshold.

19. The computer program product of claim 15, wherein the program code further comprises a sixth program code to decrease a confidence level of the identified at least one affinity cluster for providing the at least one service in response to a number of matches of the at least one dimension of the dimensionally aware linkages not exceeding a predetermined threshold.

20. The computer program product of claim 15, wherein the at least two dimensions further comprises a profile set and a subject.