ENTITY-SPECIFIC SEARCH MODEL

• US 20080005069A1
• Filed: 06/28/2006
• Published: 01/03/2008
• Est. Priority Date: 06/28/2006
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Dumais, Susan T., Naam, Ramez, Ozzie, Raymond E., Flake, Gary W., Platt, John C., Huang, Xuedong D., Goodman, Joshua T., Brill, Eric D., Meek, Christopher A., Hurst-Hiller, Oliver, Horvitz, Eric J., Gounares, Alexander G., Payne, Christopher D., Peltonen, Kyle G., Gates, William H.
• Application Number:
  US11/426,994
• Publication Number:
  US 20080005069A1
• Time in Patent Office: Days
• US Class Current: 707/3
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

A system that employs an explicitly and/or implicitly trained model in order to return entity-specific computer-based search results is provided. The innovation can provide for a customized search model that focuses search in connection with achieving information that is meaningful with respect to goals of an entity. The model can be used to modify a search query in accordance with a goal of the entity or to generate the search query thereby returning meaningful and/or targeted results to the user. The system can automatically gather entity-related data thereafter determining or inferring a goal as well as training the model. Moreover, the system can selectively configure (e.g., order, rank, filter) and render results to a user based upon the model.

Claims

1. A system that facilitates computer-based search that corresponds to an entity, comprising:

a search model generator that trains a model with data that corresponds to the entity; and

an entity-specific search component that dynamically employs the model to generate a search query and provide entity-centric search results as a function of the trained model;

the trained model focuses the search query in connection with achieving results that are meaningful with respect to a goal of the entity.

2. The system of claim 1, the search model generator mines an entity data source to identify the data.

3. The system of claim 2, the entity data source is at least one of an entity intranet, an entity server and an entity data store.

4. The system of claim 2, the search model generator applies a plurality of weight factors to the data as a function of the entity data source to train the model.

5. The system of claim 1, the search model generator employs a role of a user to train the model.

6. The system of claim 1, the entity-centric search results are a plurality of targeted advertisements, the entity-specific search component pushes a subset of the plurality of targeted advertisements to a user.

7. The system of claim 1, the entity-specific search component employs a utility-based analysis to modify the search query based upon an objective of the entity and facilitates identification of search results based upon the modified search query.

8. The system of claim 7, the utility-based analysis is a probabilistic-based analysis.

9. The system of claim 7, the utility-based analysis is a statistical-based analysis.

10. The system of claim 1, further comprising a search engine that employs the search query to obtain the plurality of search results.

11. The system of claim 1, further comprising a goal determination component that facilitates determination of the goal by at least one of inquiry and inference.

12. The system of claim 1, the entity-specific search component further comprises a rendering component that configures a subset of the search results as a function of the goal.

13. The system of claim 1, further comprising a machine learning and reasoning component that infers an action that a user desires to be automatically performed.

14. A computer-implemented method of performing an entity-specific computer search, comprising:

data mining an entity-specific data source to determine a goal of an entity;

training a model based upon the goal of the entity; and

executing a search query based at least in part upon the model.

15. The method of claim 14, further comprising determining the goal of the entity by at least one of eliciting the goal from a user and inferring the goal based upon data related to the entity.

16. The method of claim 14, further comprising:

modifying the search query as a function of a role of a user; and

obtaining results based upon the modified query.

17. The method of claim 16, further comprising organizing a subset of the results based at least in part upon the goal.

18. A computer-implemented search system, comprising:

means for training a search model as a function of an entity goal;

means for biasing a search query based upon the model; and

means for identifying a plurality of search results based upon the biased search query.

19. The computer-implemented system of claim 18, further comprising means for establishing the entity goal.

20. The computer-implemented search system of claim 19, the means for establishing the entity goal is a data-mining operation.