SYNTHETIC LOCAL TYPE-AHEAD SUGGESTIONS FOR SEARCH

• US 20150193447A1
• Filed: 01/03/2014
• Published: 07/09/2015
• Est. Priority Date: 01/03/2014
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Voinea, Daniel, Baecke, Paul, Eide, Darrin, Kukawski, Mariusz, Csehi, Andras
• Application Number:
  US14/147,107
• Publication Number:
  US 20150193447A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/3322 using system suggestions G06F16/3325 takes precedence
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries

Abstract

Architecture that generates local intent suggestions as completion suggestions (auto-suggest solutions) for an incomplete (or partially-entered) search query. The local intent suggestions are “synthetic” in that these suggestions are derived based on the near or total absence of any prior query history. The local intent suggestions can be derived and presented without the typical web-based suggestions or with the web-based suggestions. The web-based suggestions are blended (e.g., placed above, under, or mixed in with) with the local intent suggestions and displayed to the user. Web interfaces include, but are not limited to a full page display interface (e.g., that includes a full page map, pin points with images, sub-intents, title and description), and/or a right pane (sub-pane) auto-suggest interface with mini-map pinpoints, sub-intents, and disambiguation tiles, for example.

Claims

1. A system, comprising:

a suggestions component configured to return local intent suggestions for a query based in part on absence of previous queries related to the query;

a merge component configured to combine the local intent suggestions and web-based suggestions for presentation as completion suggestions for the query; and

at least one microprocessor configured to execute computer-executable instructions in a memory associated with the suggestions component and the merge component.

2. The system of claim 1, further comprising a presentation component configured to visually differentiate the local intent suggestions from the web-based suggestions as auto-suggestions to the query in a user interface.

3. The system of claim 1, wherein the suggestions component processes user spatial information to derive the local intent suggestions, the spatial information based on local intent grammars and a local entity spatial index.

4. The system of claim 1, wherein the web-based suggestions are presented as combined with the local intent suggestions in a full-page view of auto-suggestions or a sub-pane of auto-suggestions that complete the query.

5. The system of claim 1, wherein the local intent suggestions relate to properties of at least one of what, where, or category.

6. The system of claim 1, further comprising a classifier component configured to generate a classifier score that corresponds to potential local intent for the query.

7. The system of claim 6, wherein the web-based suggestions are presented under, above, or with the local intent suggestions based on the classifier score.

8. The system of claim 1, further comprising a ranker component configured to order the local intent suggestions and the web-based suggestions based on query-entity features and user features.

9. A method, comprising acts of:

receiving a query as part of a search;

processing the query to return local intent suggestions based on absence of previously-logged queries and web suggestions based on previously-logged queries; and

employing the local intent suggestions as completion suggestions for the query.

10. The method of claim 9, further comprising merging and ranking the local intent suggestions and the web suggestions for presentation.

11. The method of claim 9, further comprising presenting the web-based suggestions under, above, or with the local intent suggestions based on a classifier score.

12. The method of claim 9, further comprising visually differentiating the local suggestions from the web suggestions in a user interface.

13. The method of claim 9, further comprising applying a classifier to the query to compute local intent based on dynamic and static features.

14. The method of claim 9, further comprising interpreting the query to compute top semantic interpretations.

15. The method of claim 9, further comprising deriving the local intent suggestions based on a local intent grammar and a local entity index.

16. A computer-readable storage medium comprising computer-executable instructions that when executed by a microprocessor, cause the microprocessor to perform acts of:

receiving a query as part of a search;

processing the query to return local intent suggestions based in part on absence of previously-processed queries related to the query;

merging the local intent suggestions with web suggestions;

ranking the local intent suggestions with web suggestions; and

presenting the local intent suggestions and the web suggestions as completion suggestions for the query.

17. The computer-readable storage medium of claim 16, further comprising visually differentiating the local suggestions from the web suggestions in a user interface.

18. The computer-readable storage medium of claim 16, further comprising deriving the local suggestions based on a local intent grammar and a local entity index.

19. The computer-readable storage medium of claim 16, further comprising applying a classifier to the query to compute local intent based on dynamic and static features.

20. The computer-readable storage medium of claim 16, further comprising obtaining and processing user spatial information to derive the local intent suggestions, the spatial information based on local intent grammars and a local entity spatial index.