Rui Q Ma

US Patent:

20170039269, Feb 9, 2017

Filed:

Mar 26, 2014

Appl. No.:

15/303951

Inventors:

Paul RAFF - Redmond WA, US
Xiao HUANG - Redmond WA, US
Yichao CAI - Redmond WA, US
Rui MA - Redmond WA, US
Aidan C. CROOK - Redmond WA, US
An YAN - Redmond WA, US
- Redmond WA, US

Assignee:

Microsoft Technology Licensing, LLC - Redmond WA

International Classification:

G06F 17/30
G06N 99/00
G06N 5/04

Abstract:

Architecture that operates in combination with an integrated search framework to derive user intent associated with a search query, and then based on the derived intent, choose the search method: a local search on the current local device from which the search is initiated, a non-local search of data sources other than the local device, or both the local search and the non-local search. The query context can be derived to more effectively assess the query intent. The architecture employs predictive models trained with candidate features that enable the prediction of a singular intent (or degree of intent) in the integrated search environment. The models can be trained using historical and real-time features. A classifier is trained using the features. The user intent is then derived based on the classifier output and the search is performed accordingly.