Social content aggregation

• US 9,917,910 B2
• Filed: 03/16/2015
• Issued: 03/13/2018
• Est. Priority Date: 03/16/2015
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Alavandar, Narayanan, Arunachalam, Ravi S., Bhogal, Navjot S., Mukherjee, Chandan
• Primary Examiner(s): Taylor, Nicholas
• Assistant Examiner(s): Shiu, Ho
• Application Number:
  US14/658,426
• Publication Number:
  US 20160277517A1
• Time in Patent Office: 1,093 Days
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method and system for delivering a service is provided. The method includes enabling a social application container computer system from an end user device, via an application program interface (API) executing in the social application container computer system invoked by an application running on the end user device. Transaction data describing a transaction request of a user of the end user device is collected from the end user device via the application and the API. Transaction specific context is generated based on the transaction data. User specific context is generated based on user data present in the transaction data.

Claims

1. A service delivery method comprising:

enabling, a computer processor of a social application container computer system from an end user device, via an application program interface (API) executing in the said social application container computer system invoked by an application running on the end user device;

collecting, by said computer processor from said end user device via a header of said application and said API, transaction data describing a transaction request of a user of said end user device, wherein said transaction data consists of an IP address of said end user device, a geo-location of said user, and credentials associated with said user;

generating, by said computer processor based on said transaction data, transaction specific context, wherein said generating said transaction specific context comprises;

invoking a preconfigured set of external provider services; and

assimilating responses of said preconfigured set of external provider services into said transaction specific context;

generating, by said computer processor based on user data present in said transaction data, user specific context, wherein said generating said user specific context comprises;

invoking a preconfigured set of external social analytics provider services;

assimilating responses of said preconfigured set of external social analytics provider services into said user specific context; and

storing retrieved user specific context for future retrieval during an invocation process of said API by said user;

automatically and asynchronously combining said user specific context with said transaction specific context, wherein results of said automatically and asynchronously combining generates social context data associated with said invocation process; and

transmitting said social context to a social application container of a provider of said API;

automatically maintaining and developing, by said computer processor, logic based code for collecting and generating additional social context for every additional API executing in said social application container; and

generating, by said computer processor executing an application of said provider of said API, differentiated responses based on said social context, wherein said generating said differentiated responses is independent from said maintaining and developing said logic based code.

2. The method of claim 1, further comprising:

determining, by said computer processor based on said differentiated responses, differing discount rates associated with said social application container computer system.

3. The method of claim 2, wherein said differentiated responses comprise responses selected from the group consisting of location aware services including social locations frequented by said user.

4. The method of claim 2, wherein said differing discount rates are determined based on social klout/browsing behavior, highlighted positive interactions associated with relations of said user, and preferential treatment based on a CRM view of said user.

5. The method of claim 1, wherein said external provider services comprise services selected form the group consisting of geo-coding services, IP address geo-coding services, and browsing pattern intelligent services, mobility pattern tracking services, social klout analysis services, and social relation, special occasion, and social sentiment mood tracking services.

6. The method of claim 1, further comprising:

providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in the computing system, said code being executed by the computer processor to implement;

said enabling, said collecting, said generating said transaction specific content, and said generating said user specific content.

7. A social application container computing system comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements a service delivery method comprising:

enabling, said computer processor from an end user device, via an application program interface (API) executing in said social application container computer system invoked by an application running on the end user device;

collecting, by said computer processor from said end user device via a header of said application and said API, transaction data describing a transaction request of a user of said end user device, wherein said transaction data consists of an IP address of said end user device, a geo-location of said user, and credentials associated with said user;

generating, by said computer processor based on said transaction data, transaction specific context, wherein said generating said transaction specific context comprises;

invoking a preconfigured set of external provider services; and

assimilating responses of said preconfigured set of external provider services into said transaction specific context;

generating, by said computer processor based on user data present in said transaction data, user specific context, wherein said generating said user specific context comprises;

invoking a preconfigured set of external social analytics provider services;

assimilating responses of said preconfigured set of external social analytics provider services into said user specific context; and

storing retrieved user specific context for future retrieval during an invocation process of said API by said user;

automatically and asynchronously combining said user specific context with said transaction specific context, wherein results of said automatically and asynchronously combining generates social context data associated with said invocation process; and

transmitting said social context to a social application container of a provider of said API;

automatically maintaining and developing, by said computer processor, logic based code for collecting and generating additional social context for every additional API executing in said social application container; and

generating, by said computer processor executing an application of said provider of said API, differentiated responses based on said social context, wherein said generating said differentiated responses is independent from said maintaining and developing said logic based code.

8. The social application container computing system of claim 7, wherein said method further comprises:

determining, by said computer processor based on said differentiated responses, differing discount rates associated with said social application container computer system.

9. The social application container computing system of claim 8, wherein said differentiated responses comprise responses selected from the group consisting of location aware services including social locations frequented by said user.

10. The social application container computing system of claim 8, wherein said differing discount rates are determined based on social klout/browsing behavior, highlighted positive interactions associated with relations of said user, and preferential treatment based on a CRM view of said user.

11. The social application container computing system of claim 7, wherein said external provider services comprise services selected form the group consisting of geo-coding services, IP address geo-coding services, and browsing pattern intelligent services, mobility pattern tracking services, social klout analysis services, and social relation, special occasion, and social sentiment mood tracking services.

12. A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a computer processor of a social application container computing system implements a service delivery method, said method comprising:

enabling, said computer processor from an end user device, via an application program interface (API) executing in said social application container computer system invoked by an application running on the end user device;

collecting, by said computer processor from said end user device via a header of said application and said API, transaction data describing a transaction request of a user of said end user device, wherein said transaction data consists of an IP address of said end user device, a geo-location of said user, and credentials associated with said user;

generating, by said computer processor based on said transaction data, transaction specific context, wherein said generating said transaction specific context comprises;

invoking a preconfigured set of external provider services; and

assimilating responses of said preconfigured set of external provider services into said transaction specific context;

generating, by said computer processor based on user data present in said transaction data, user specific context, wherein said generating said user specific context comprises;

invoking a preconfigured set of external social analytics provider services;

assimilating responses of said preconfigured set of external social analytics provider services into said user specific context; and

storing retrieved user specific context for future retrieval during an invocation process of said API by said user;

automatically and asynchronously combining said user specific context with said transaction specific context, wherein results of said automatically and asynchronously combining generates social context data associated with said invocation process; and

transmitting said social context to a social application container of a provider of said API;

automatically maintaining and developing, by said computer processor, logic based code for collecting and generating additional social context for every additional API executing in said social application container; and

generating, by said computer processor executing an application of said provider of said API, differentiated responses based on said social context, wherein said generating said differentiated responses is independent from said maintaining and developing said logic based code.

13. The computer program product of claim 12, wherein said method further comprises:

determining, by said computer processor based on said differentiated responses, differing discount rates associated with said social application container computer system.

14. The computer program product of claim 13, wherein said differentiated responses comprise responses selected from the group consisting of location aware services including social locations frequented by said user.

15. The computer program product of claim 13, wherein said differing discount rates are determined based on social klout/browsing behavior, highlighted positive interactions associated with relations of said user, and preferential treatment based on a CRM view of said user.