Automatic query suggestions

• US 20060085391A1
• Filed: 09/24/2004
• Published: 04/20/2006
• Est. Priority Date: 09/24/2004
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Cheng, Lili, MacLaurin, Matthew B., Turski, Andrzej
• Application Number:
  US10/950,084
• Publication Number:
  US 20060085391A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/90324 using system suggestions
• CPC Class Codes: G06F 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually

Abstract

An improved technique of querying a data store by widening the query using a series of queries that follow relations between items. Initial auxiliary queries are used to find metadata property values (rather than the actual items) that are then used in the subsequent queries. The initial queries employ one or more property values to find a related item. In response thereto, an action menu is presented for the item that facilitates widening the search for all other items with the same selected property value. The user can be presented with several choices depending on which property is used for query widening.

Claims

1. A system that facilitates a data store query, comprising:

a data store of items that have metadata associated therewith; and

a query component that facilitates generation of a query on the data store of items to return one or more related items, and widening of the query by searching for an other related item based on metadata of the one or more related items.

2. The system of claim 1, wherein the metadata includes at least one property value that is used to widen the search for the other related item.

3. The system of claim 2, wherein the other related item is associated with the at least one property value.

4. The system of claim 1, wherein the metadata includes a property value that is at least one of a item type, date, author and group.

5. The system of claim 1, wherein the query component facilitates presentation of one or more query options that are selectable by a user to widen the search.

6. The system of claim 5, the one or more query options include properties of the metadata.

7. The system of claim 1, further comprising an artificial intelligence (AI) component that employs a probabilistic and/or statistical-based analysis to prognose or infer an action that a user desires to be automatically performed.

8. The system of claim 7, wherein the AI component facilitates automatic widening of the query.

9. A computer readable medium having stored thereon computer executable instructions for carrying out the system of claim 1.

10. A computer that employs the system of claim 1.

11. A method of searching a data store of items, comprising:

performing a query on the data store of items to find a related item, which related item has metadata associated therewith; and

widening the query by searching for other related items based on the metadata.

12. The method of claim 11, wherein the act of widening includes searching for the other related items based on a property of the metadata.

13. The method of claim 11, wherein the metadata includes a property value that is at least one of an item type, date, author, and group.

14. The method of claim 11, further comprising presenting one or more query options in the form of properties of the related item that are selectable by a user to widen the search.

15. The method of claim 11, further comprising automatically performing an action using an AI component that employs a probabilistic and/or statistical-based analysis to prognose or infer the action.

16. A computer-readable medium having computer-executable instructions for performing a method of claim 11.

17. A method of searching a data store of items, comprising:

querying the data store of items using a first query to find related items;

extracting one or more property values associated with the related items; and

widening the search by searching for other related items using the one or more property values.

18. The method of claim 17, further comprising at least one of the acts of:

presenting the one or more property values to a user for selection to initiate the act of widening; and

automatically executing the act of widening according to the one or more property values.

19. The method of claim 17, the act of widening returns one or more of the other related items that are not included in the related items.

20. A system that facilitates searching a data store, comprising:

a data store of items; and

a query component that facilitates determination of a related query that returns one or more related items, and widening of the search by utilizing a nested query of the related query to return one or more other related items.

21. The system of claim 20, wherein the related query is determined according to a query refinement technique.

22. The system of claim 21, wherein the one or more other related items are associated with at least one property value.

23. The system of claim 20, wherein a property value associated with the nested query is utilized to widen the search.

24. The system of claim 20, wherein the query component facilitates presentation of one or more query options that are selectable by a user to widen the search.

25. The system of claim 20, wherein the nested query is associated with metadata properties that include at least one of an item type, date, author and group.

26. The system of claim 20, further comprising an AI component that employs a probabilistic and/or statistical-based analysis to prognose or infer an action that a user desires to be automatically performed.

27. The system of claim 26, wherein the AI component facilitates automatic widening of the query.

28. A computer readable medium having stored thereon computer executable instructions for carrying out the system of claim 20.

29. A computer that employs the system of claim 20.

30. A server according to the system of claim 20.

31. A computer-readable medium having computer-executable instructions for performing a method of searching a data store of items, comprising:

querying the data store of items to determine a related query that is associated with one or more related items;

extracting a nested query from the related query; and

widening the search of the data store of items by utilizing the nested query to return other related items.

32. The method of claim 31, further comprising widening the search by utilizing one or more property values associated with the nested query.

33. The method of claim 31, further comprising generating the related query according to a query refinement technique.

34. The method of claim 31, further comprising presenting one or more query options that are selectable by a user to widen the search.

35. The method of claim 31, wherein the nested query is associated with metadata properties that include at least one of an item type, date, author and group.

36. A computer-readable medium having computer-executable instructions for performing a method of searching a data store of items, comprising:

querying the data store of items to determine a related query that is associated with one or more related items;

performing at least one of the acts of;

extracting one or more property values associated with the one or more related items; and

extracting one of a nested query from the related query and one or more property values associated therewith; and

widening the search of the data store of items to return other related items based on at least one of the nested query and the one or more property values.

37. The method of claim 36, the other related items include items that are not part of the one or more related items.