SITUATIONAL RECOMMENDATIONS IN HETEROGENOUS SYSTEM ENVIRONMENT

• US 20130067496A1
• Filed: 09/13/2011
• Published: 03/14/2013
• Est. Priority Date: 09/13/2011
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Aufaure, Marie-Aude, Cras, Jean-Yves, THOLLOT, RAPHAEL
• Granted Patent: US 8,863,153 B2
• Time in Patent Office: Days
• US Class Current: 719/318
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Situational recommendations in heterogeneous system environment are described herein. An event is received, where the event represents an interaction between an agent and a first resource from a number of resources available at the heterogeneous system environment. At least one impacted situation of a number of situations is determined based on the event. At least one operator from a number of operators is determined to apply on the at least one impacted situation. The at least one operator updates the at least one impacted situation. Recommendation of a second resource from the number of resources is generated based on the updated situation.

Claims

1. A computer implemented method to generate a recommendation in a heterogeneous computer system environment, the method comprising:

receiving an event, wherein said event represents an interaction between an agent and a first resource from a plurality of resources available at said heterogeneous computer system environment;

based on said event, determining at least one impacted situation from a plurality of situations;

based on said event, the computer determining at least one operator from a plurality of operators to apply on to said at least one impacted situation;

the computer updating said at least one impacted situation by applying said at least one operator on to said at least one impacted situation;

based on said updated situation, generating said recommendation of a second resource from said plurality of resources by a recommender system of the computer system environment.

2. The method of claim 1, wherein determining said at least one operator from said plurality of operators further comprises:

based on said event, determining at least one applicable activation rule to be evaluated, wherein said at least one applicable activation rule is configured to respond to said event;

verifying a set of conditions of said activation rule to determine applicability of said at least one operator;

in response to said activation rule, applying said at least one operator on to said impacted situation.

3. The method of claim 1, wherein updating said impacted situation by applying said at least one operator further comprises:

based on said event, updating at least one situation statement of said at least one impacted situation.

4. The method of claim 1, wherein generating said recommendation of said second resource from said plurality of resources to said agent further comprising:

adding a situation statement to said at least one impacted situation representing said recommending.

5. The method of claim 1, further comprising:

generating at least one graph model of said plurality of resources, wherein a plurality of nodes of said graph model represents said plurality of resources and a plurality of edges of said graph model represents relations between said plurality of resources;

6. The method of claim 1, wherein determining said at least one impacted situation from said plurality of situations further comprises:

retrieving a set of valid situation statements related to at least said agent.

7. The method of claim 1, further comprising:

authenticating said agent to said recommender system, and

accessing a restricted portion of said plurality of resources based on said authentication.

8. A computer recommender system to generate at least one recommendation, the system including:

at least one processor and memory to execute program code related to;

receive an event, wherein said event represents an interaction between an agent and at least one resource from a plurality of resources;

based on said event, determine at least one impacted situation from a plurality of situations;

based on said event, determine at least one operator from a plurality of operators to apply on to said at least one impacted situation;

update said at least one impacted situation by applying said at least one operator on to said at least one impacted situation;

based on said updated situation, recommend at least one additional resource from said plurality of resources.

9. The system of claim 8, wherein determining said at least one operator from said plurality of operators further comprises:

based on said event, determining at least one applicable activation rule to be evaluated, wherein said at least one applicable activation rule is configured to respond to said event;

verifying a set of conditions of said activation rule to determine applicability of said at least one operator;

in response to said activation rule, applying said at least one operator on to said impacted situation.

10. The system of claim 8, wherein updating said impacted situation by said at least one operator further comprises:

based on said event, updating at least one situation statement of said at least one impacted situation.

11. The system of claim 8, wherein recommending said at least one additional resource from said plurality of resources further comprising:

adding a situation statement to said at least one impacted situation representing said recommending.

12. The system of claim 8, wherein said memory comprises:

at least one graph model of said plurality of resources, wherein a plurality of nodes of said graph model represents said plurality of resources and a plurality of edges of said graph model represents relations between said plurality of resources;

13. The system of claim 8, wherein determining said at least one impacted situation from said plurality of situations further comprises:

retrieving a set of valid situation statements related to at least said agent.

14. A non-transitory computer readable medium storing instructions thereon, which when executed by a processor cause a computer system to:

receive an event, wherein said event represents an interaction between an agent and a first resource from a plurality of resources;

based on said event, determine at least one impacted situation from a plurality of situations;

based on said event, the computer to determine at least one operator from a plurality of operators to apply on to said at least one impacted situation;

the computer to update said at least one impacted situation by applying said at least one operator on to said at least one impacted situation;

based on said updated situation, the computer to recommend a second resource from said plurality of resources.

15. The computer readable medium of claim 14, wherein determining said at least one operator from said plurality of operators further comprises:

based on said event, determining at least one applicable activation rule to be evaluated, wherein said at least one applicable activation rule is configured to respond to said event;

verifying a set of conditions of said activation rule to determine applicability of said at least one operator;

in response to said activation rule, applying said at least one operator on to said impacted situation.

16. The computer readable medium of claim 14, wherein updating said impacted situation by said at least one operator further comprises:

based on said event, updating at least one situation statement of said at least one impacted situation.

17. The computer readable medium of claim 14, wherein recommending said second resource from said plurality of resources further comprising:

adding a situation statement to said at least one impacted situation representing said recommending.

18. The computer readable medium of claim 14 storing instructions thereon, which when executed by the processor cause the computer system further to:

generate at least one graph model of said plurality of resources, wherein a plurality of nodes of said graph model represents said plurality of resources and a plurality of edges of said graph model represents relations between said plurality of resources;

19. The computer readable medium of claim 14, wherein determining said at least one impacted situation from said plurality of situations further comprises:

retrieving a set of valid situation statements related to at least said agent.

20. The computer readable medium of claim 14 storing instructions thereon, which when executed by the processor cause the computer system further to:

authenticate said agent to said recommender system, and

access a restricted portion of said plurality of resources based on said authentication.