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 realtime 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.
申请公布号
AU2014388153(A1)
申请公布日期
2016.09.08
申请号
AU20140388153
申请日期
2014.03.26
申请人
MICROSOFT TECHNOLOGY LICENSING, LLC
发明人
RAFF, PAUL;HUANG, XIAO;CAI, YICHAO;MA, RUI;CROOK, C. AIDAN;YAN, AN