SEARCH ENGINE DASH-BOARD

• US 20070288439A1
• Filed: 06/13/2007
• Published: 12/13/2007
• Est. Priority Date: 06/13/2006
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Rappaport, Alain, Choe, Timothy, Shih, Leo, Adamson, Daniel
• Granted Patent: US 7,548,909 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

A computer system that facilitates presentation of data to a user. A search engine component receives and executes queries on behalf of a user. Results of the query are received and analyzed by an analysis component that filters and organizes the results as a function of relevancy of the data to the user and associated context of the query. A user interface component presents the data to the user in a manner that facilitates easy consumption/processing of data by respective users. The user interface component can dynamically modify display settings as a function of content and type of information displayed, user state, user preferences, explicit or implicit learning, user intent, etc.

Claims

1. A computer-implement system that facilitates displaying search results, comprising:

a search engine component that receives and executes queries on behalf of a user;

an analysis component that filters and organizes the results as a function of relevancy of the data to the user and associated context of the query.

2. The system of claim 1, further comprising a user interface component that can dynamically modify display settings as a function of content and type of information displayed, user state, user preferences, explicit learning, implicit learning, or user intent.

3. The system of claim 1, further comprising an artificial intelligence (AI) component 18 that determines or infers user intent, user state, user context, user goals, and relevancy of results.

5. The system of claim 1, comprising a user interface that includes multiple information panes to display content-related information.

6. The system of claim 5, comprising:

a relevance pane, a channel pane, and an advertisement pane.

7. The system of claim 5, wherein information displayed by the user interface is organized by window tabs, and the window tabs respectively correspond to a particular user'"'"'s status.

8. The system of claim 6, wherein the relevance pane includes one or more information categories that correspond to the query and user status.

9. The system of claim 8, wherein the categories of information displayed change based upon a selected or predetermined user status, or profile.

10. The system of claim 8, wherein the categories of information are determined automatically by at least one of:

a learning method, a dynamic learning method, an algorithmic, or an inferencing method.

11. The system of claim 8, wherein respective categories list one or more concepts related to the search query that are determined based at least in part on the search query and the window tab.

12. The system of claim 1, further comprising a relevance meter that is associated with one or more concepts, wherein the relevance meter graphically conveys relevance of the one or more concepts to determined or inferred user information goals.

13. The system of claim 1, the search engine component employs a topic-specific search engine configured to search a pre-determined domain of topic-relevant information.

14. The system of claim 6, the advertisement pane displays targeted advertisements that are a function of search results and user profile information.

15. The system of claim 7, comprising a research tab that displays information and tools relating to performing research on topics related to the search results.

16. The system of claim 15, comprising a menu that provides for further refining search queries or results by selecting one or tabs or concepts associated with previous search results.

18. The method of claim 15 comprising reformulating the query as a function of previous search results, relevancy of results to the user, determining or inferred intent of the user, determined or inferred goals of the user, and user state or user context.

4. The system of claim 4, the AI component employs a probabilistic-based or statistical-based analysis in connection with making determinations or inferences.

17. A computer-implement method that facilitates displaying search results, comprising:

receiving a search query relating to medical/health information;

executing the search query;

analyzing search query results; and

selectively filtering, organizing, and presenting the search query results as a function of relevancy to the user, and cognitive load of the user.

19. A computer readable medium having stored thereon computer-executable instructions for carrying out the acts of claim 17.

20. A computer-implement system that facilitates displaying search results, comprising:

means for receiving a search query relating to medical/health information;

means for executing the search query;

means for analyzing search query results; and

means for selectively filtering, organizing, and presenting the search query results as a function of relevancy to the user, and cognitive load of the user.