Business Intelligent In-Document Suggestions

• US 20140040238A1
• Filed: 08/06/2012
• Published: 02/06/2014
• Est. Priority Date: 08/06/2012
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Scott, Matthew Robert, Wang, Chao, Sgro, Richard J.
• Granted Patent: US 8,959,109 B2
• Time in Patent Office: Days
• US Class Current: 707/722
• CPC Class Codes: G06F 16/332 Query formulation

Abstract

Implementing business intelligent in-document suggestion may include detecting a content that a user is inputting into a document or selecting from the document. Based on the content, a key word may be extracted to generate a query. The query may be transmitted to an enterprise search engine for enterprise intelligence. Based on returned search results, a suggestion may be generated and presented to a user device by integrating the suggestion into the document. In some embodiments, the suggestion may include a people suggestion, a document suggestion, a phrase suggestion and a document template suggestion. In some embodiments, adding an additional content or selecting a subset of the content may refine the suggestion.

Claims

1. A compute-implemented method, the method comprising:

detecting addition of content to a document or selection of content from the document;

generating a query based on the added or selected content;

submitting the query to a search service for an enterprise, the search service for searching data of the enterprise;

receiving a result from the search service in response to the query; and

presenting the result by integrating the result into a user interface for presenting the document.

2. The computer-implemented method of claim 1, wherein the query is further generated based on a business model, and the business model is generated using training data associated with business intelligence of the enterprise.

3. The computer-implemented method of claim 1, further comprising extracting a key word based on the content using a business model, wherein the extracting the key word is implemented using an Object Model (OM) of a word processor that is used for producing the document.

4. The compute-implemented method of claim 1, wherein the enterprise further provides web service functionalities including at least one of:

intranet portals,

websites,

web content management,

social tools, and

document and file management.

5. The compute-implemented method of claim 1, wherein the presenting the result comprises generating multiple suggestions and presenting the multiple suggestions as the result, the multiple suggestions including at least one of:

a people suggestion indicating a user associated with the enterprise and aligned with the content,

a document suggestion indicating a document associated with the enterprise and aligned with the content,

a phrase suggestion that assists content authoring,

a document template suggestion indicating a document template that is used by the enterprise and aligned with at least one of the content or a format of the document, or

a statistics suggestion indicating a statistic associated with the enterprise.

6. The compute-implemented method of claim 1, further comprising:

detecting that the user is selecting a subset of the content; and

refining the result in response to the selecting the subset of the content.

7. One or more computer-readable media storing computer-executable instructions that, when executed on one or more processors, causes the one or more processors to perform acts comprising:

extracting a key word from content being input in a document;

generating, based on the extracted key word, a query to a search service associated with business intelligence for an enterprise, the search service for searching data of the enterprise;

receiving a result from the search service in response to the query; and

presenting a suggestion in a user interface for displaying the document, the suggestion being associated with the result.

8. The one or more computer-readable media of claim 7, wherein the extracting the key word comprises:

detecting that the user is inputting the content into the document or selecting text of the document; and

extracting the key words from the content or the text.

9. The one or more computer-readable media of claim 7, wherein the receiving the result comprises receiving multiple results, and wherein the acts further comprise:

analyzing the multiple results;

grouping the multiple results based on types; and

generating the suggestion based on the analyzed and grouped multiple results.

10. The one or more computer-readable media of claim 7, wherein the acts further comprise generating a people suggestion based on the result, the people suggestion indicating one or more people of the enterprise and enterprise information associated with the one or more people, the enterprise information including at least one of:

an expertise of the one or more people,

an office location of the one or more people,

a current availability of the one or more people,

a picture of the one or more people,

contact information of the one or more people,

a document authored by the one or more people, the document being authored in a predetermined time of period and aligned with the content, or

a group that the one or more people belong to.

11. The one or more computer-readable media of claim 7, wherein the act further comprises generating a people suggestion based on the result, the people suggestion indicating one or more people that are associated with the enterprise and are experts in a technical area aligned with the content.

12. The one or more computer-readable media of claim 7, wherein the acts further comprise generating a document suggestion based on result, the document suggestion indicating one document of the enterprise, the one document including at least one of:

an enterprise policy aligned with the content,

a document template aligned with the content or with a format of the document that the user is inputting the content into,

a legal statement aligned with the content,

confidential information associated with the enterprise and aligned with the content,

an enterprise statistic aligned with the content, or

metadata associated with the document and the one document.

13. The one or more computer-readable media of claim 7, wherein the acts further comprise generating a phrase suggestion based on the result, the phrase suggestion indicating a phrase assisting content authoring.

14. The one or more computer-readable media of claim 7, wherein the suggestion indicates a suggested document and provides a preview of the suggested document.

15. The one or more computer-readable media of claim 7, wherein the suggestion indicates a suggested document, and wherein the acts further comprise adding the suggested document to a citation section of the document when detecting that text of the suggested document is pasted into the document, a citation of the document embedding a light-weight viewer of the suggested document.

16. A system comprising:

one or more processors; and

memory to store a plurality of components executable on the one or more processors, the plurality of components comprising;

a key word module that extracts a key word from a document being authored,

a query module that;

generates a query based on the key word,

submits the query to a search engine of an enterprise designated for searching data of the enterprise, and

receives a result from the search engine in response to submitting the query,

a suggestion module that generates a suggestion based on the result, and

an interface that surfaces the suggestion in a user interface for displaying the document.

17. The system of claim 16, wherein the surfacing the suggestion in the user interface for displaying the document comprise surfacing the suggestion in the user interface such that the suggestion is displayed in a panel alongside the document.

18. The system of claim 16, wherein the suggestion indicates a suggested document and wherein the surfacing the suggestion in the document further comprises surfacing:

a preview of the suggested document,

a key word of the suggested document,

a title of the suggested document, or

an author of the suggested document.

19. The system of claim 16, wherein the surfacing the suggestion in the user interface for displaying the document comprises implementing an Input Method Editor (IME).

20. The system of claim 16, wherein the surfacing the suggestion in the user interface for the document comprises adding the suggestion to the document as an attachment, the document being an electronic mail.