Situational recommendations in heterogenous system environment

• US 8,863,153 B2
• Filed: 09/13/2011
• Issued: 10/14/2014
• Est. Priority Date: 09/13/2011
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Thollot, Raphael, Aufaure, Marie-Aude, Cras, Jean-Yves
• Primary Examiner(s): Puente, Emerson
• Assistant Examiner(s): Kamran, Mehran
• Application Number:
  US13/231,210
• Publication Number:
  US 20130067496A1
• Time in Patent Office: 1,127 Days
• Field of Search: None
• 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 generated in response to an interaction between an agent and a first resource from a plurality of resources available at the heterogeneous computer system environment, the event represented by a situation statement from a plurality of situation statements, wherein a subject of the situation statement is the agent, an object of the situation statement is the first resource, and a predicate of the situation statement is the interaction between the agent and the first resource;

based on the received event;

determining at least one impacted situation graph from a plurality of situations graphs, the at least one impacted situation graph comprising a collection of situation statements from the plurality of situation statements related to the agent;

loading into a memory the at least one impacted situation graph;

evaluating a plurality of activation rules to determine an applicable activation rule to react to the received event, wherein each of the plurality of activation rules include an event part that specifies a type of event to which the activation rule reacts, a condition part that determines triggering one or more operators relevant to the type of event, and an action part to trigger the one or more operators relevant to the type of event;

determining the applicable activation rule based on an event part of the applicable activation rule matching a type of the received event;

upon verifying a condition part of the applicable activation rule, triggering a first operator from one or more relevant operators specified by the applicable activation rule;

in response to triggering the first operator, a computer updating the at least one impacted situation graph by applying the first operator to the at least one impacted situation graph; and

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

2. The method of claim 1, wherein triggering the first operator further comprises:

upon verifying whether a second operator is executed, determine applicability of the first operator.

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

in response to receiving the event updating at least one situation statement of the collection of situation statements of the at least one impacted situation graph.

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

adding a situation statement representing the recommendation to the collection of situation statements of the at least one impacted situation.

5. The method of claim 1, further comprising:

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

6. The method of claim 1, wherein loading the at least one impacted situation graph further comprises:

retrieving a set of valid situation statements from the collection of situation statements related the agent.

7. The method of claim 1, further comprising:

authenticating the agent to the recommender system, and

accessing a restricted portion of the plurality of resources based on the 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 generated in response to an interaction between an agent and at least one resource from a plurality of resources, the event represented by a situation statement from a plurality of situation statements, wherein a subject of the situation statement is the agent, an object of the situation statement is the first resource, and a predicate of the situation statement is the interaction between the agent and the first resource;

based on the received event;

determine at least one impacted situation graph from a plurality of situations graphs, the at least one impacted situation graph comprising a collection of situation statements from the plurality of situation statements related to the agent;

load into a memory the at least one impacted situation graph;

evaluate a plurality of activation rules to determine an applicable activation rule to react to the event, wherein each of the plurality of activation rules include an event part that specifies a type of event to which the activation rule reacts, a condition part that determines when to trigger one or more operators relevant to the type of event, and an action part to trigger the one or more operators relevant to the type of event;

determining the applicable activation rule based on an event part of the applicable activation rule matching a type of the received event;

upon verifying a condition part of the applicable activation rule, trigger a first operator from one or more relevant operators specified by the applicable activation rule;

in response to triggering the first operator, update the at least one impacted situation graph by applying the at least one operator on to the at least one impacted situation graph; and

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

9. The system of claim 8, wherein triggering the first operator further comprises:

upon verifying, whether a second operator is executed determine applicability of the first operator.

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

based on the event, updating at least one situation statement of the collection of situation statements of the at least one impacted situation graph.

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

adding a situation statement representing the recommendation to the collection of situation statements of the at least one impacted situation graph.

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

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

13. The system of claim 8, wherein loading the at least one impacted situation graph further comprises:

retrieving a set of valid situation statements from the collection of situation statements related to the 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 generated in response to an interaction between an agent and a first resource from a plurality of resources, the event represented by a situation statement from a plurality of situation statements, wherein a subject of the situation statement is the agent, an object of the situation statement is the first resource, and a predicate of the situation statement is the interaction between the agent and the first resource;

based on the received event;

determine at least one impacted situation graph from a plurality of situations graphs, the at least one impacted situation graph comprising a collection of situation statements from the plurality of situation statements related to the agent;

loading into a memory the at least one impacted situation graph;

evaluate a plurality of activation rules to determine an applicable activation rule to react to the event, wherein each of the plurality of activation rules include an event part that specifies a type of event to which the activation rule reacts, a condition part that determines when to trigger one or more operators relevant to the type of event, and an action part to trigger the one or more operators relevant to the type of event;

determine the applicable activation rule based on an event part of the applicable activation rule matching a type of the received event;

upon verifying a condition part of the applicable activation rule, trigger a first operator from one or more relevant operators specified by the applicable activation rule;

in response to triggering the first operator, update the at least one impacted situation graph by applying the at least one operator on to the at least one impacted situation graph; and

based on the at least one updated situation graph, the computer to recommend a second resource from the plurality of resources.

15. The computer readable medium of claim 14, wherein triggering the first operator further comprises:

upon verifying, whether a second operator is executed determine applicability of the first operator.

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

based on the event, updating at least one situation statement of the collection of situation statements of the at least one impacted situation.

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

adding a situation statement representing the recommendation to the collection of situation statements of the at least one impacted situation graph.

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 the plurality of resources, wherein a plurality of nodes of the graph model represents the plurality of resources and a plurality of edges of the graph model represents relations between the plurality of resources.

19. The computer readable medium of claim 14, wherein loading the at least one impacted situation graph further comprises:

retrieving a set of valid situation statements from the collection of situation statements related to the 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 the agent to the recommender system, and

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