System and method for agent assisted information retrieval

• US 20060149606A1
• Filed: 01/05/2005
• Published: 07/06/2006
• Est. Priority Date: 01/05/2005
• Status: Abandoned Application

• Current Assignee: Stottler Henke Associates, Inc.
• Original Assignee: Stottler Henke Associates, Inc.
• Inventors: Braun, Ronald K., Gasch, Lynn J., Kaneshiro, Ryan A., Weinberger, Keith A., Broadhead, Matthew, Spencer, Laurie, Goan, Terrance L. Jr.
• Application Number:
  US11/030,572
• Publication Number:
  US 20060149606A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling

Abstract

Online information resources are searched. The system acts an assistant to the user during the search of online resources by pursuing search paths that the user did not recognize, or was unable to pursue due to time or skill limitations. After constructing a preliminary model of the user'"'"'s information need the system identifies a number of unexplored leads and pursues them with a user-defined level of autonomy. Pursuing leads may involve the exploitation of any number of heuristics through automated advanced query construction and Web crawling methods. Documents discovered during the search are evaluated for likely utility and presented to the user. Both explicit feedback and inferences drawn from the user'"'"'s interaction with online information are used to continually refine the model of the user'"'"'s information need thereby redirecting the search system.

Claims

1. A method for retrieving documents, comprising:

generating a model of a user'"'"'s information need;

evaluating leads present in the model to determine search paths;

determining the leads to pursue in response to the evaluation;

pursuing the determined leads, wherein at least one of the leads may be pursued using a different method from the other leads; and

obtaining documents as a result of the pursuit.

2. The method of claim 1, further comprising analyzing the discovered documents, ranking the discovered documents and presenting search results to the user.

3. The method of claim 1, further comprising dynamically refining the model of the user'"'"'s information need in response to at least one of the following:

an explicit user input;

the analysis of discovered documents; and

the analysis of the user'"'"'s activities.

4. The method of claim 3, wherein the each of the leads is one of the following types:

a single word term;

a multi-word term;

a user query;

a relevant document and attributes thereof; and

a reference to documents.

5. The method of claim 3, wherein pursing the leads comprises determining a type of the lead and pursing the lead based on the determined type.

6. The method of claim 3, wherein the user may directly add, delete, reprioritize, and mandate which leads to pursue.

7. The method of claim 3, wherein pursuing the determined leads comprises simultaneously pursing the determined leads.

8. The method of claim 3, wherein evaluating the leads, determining the leads, and pursuing the determined leads may be initiated by at least one of:

an explicit user request, a scheduled event, and a change in the model of the user'"'"'s information need.

9. The method of claim 2, wherein presenting the search results comprises dynamically updating the search results presentation as the search results are re-evaluated and new search results are retrieved.

10. A computer-readable medium having computer executable instructions for retrieving documents, comprising:

generating a model of a user'"'"'s information need;

evaluating leads present in the model to determine search paths;

determining the leads to pursue in response to the evaluation;

pursuing the determined leads, wherein at least one of the leads may be pursued using a different method from the other leads;

obtaining search results as a result of the pursuit, wherein the search results include documents; and

presenting the search results to the user.

11. The computer-readable medium of claim 10, further comprising dynamically refining the model of the user'"'"'s information need in response to at least one of the following:

an explicit user input;

the analysis of discovered documents; and

the analysis of the user'"'"'s activities.

12. The computer-readable medium of claim 11, wherein the each of the leads is one of the following types:

a single word term;

a multi-word term;

a user query;

a relevant document and attributes thereof; and

a reference to documents.

13. The computer-readable medium of claim 11, wherein pursing the leads comprises determining a type of the lead and pursing the lead based on the determined type.

14. The computer-readable medium of claim 11, wherein the user may directly add, delete, reprioritize, and mandate which leads to pursue.

15. The computer-readable medium of claim 14, wherein pursuing the determined leads comprises simultaneously pursing the determined leads.

16. A system for retrieving documents, comprising:

a processor and a computer-readable medium;

an operating environment stored on the computer-readable medium and executing on the processor;

a communication connection device operating under the control of the operating environment;

an application operating under the control of the operating environment and operative to perform actions, including;

generating a model of a user'"'"'s information need;

evaluating leads present in the model to determine search paths;

determining the leads to pursue in response to the evaluation;

pursuing the determined leads, wherein at least one of the leads may be pursued using a different method from the other leads;

obtaining search results as a result of the pursuit, wherein the search results include documents; and

presenting the search results to the user.

17. The system of claim 16, further comprising dynamically refining the model of the user'"'"'s information need in response to at least one of the following:

an explicit user input;

the analysis of discovered documents; and

the analysis of the user'"'"'s activities.

18. The system of claim 17, wherein the each of the leads is one of the following types:

a single word term;

a multi-word term;

a user query;

a relevant document and attributes thereof; and

a reference to documents.

19. The system of claim 16, wherein pursing the leads comprises determining a type of the lead and pursing the lead based on the determined type.

20. The system of claim 16, wherein the user may directly add, delete, reprioritize, and mandate which leads to pursue.