公开(公告)号：US20170039269A1

公开(公告)日：2017-02-09

申请号：US15303951

申请日：2014-03-26

申请人： Paul RAFF ,  Xiao HUANG ,  Yichao CAI ,  Rui MA ,  Aidan C. CROOK ,  An YAN ,  Microsoft Technology Licensing, LLC

发明人： Paul Raff ,  Xiao Huang ,  Yichao Cai ,  Rui Ma ,  Aidan Crook ,  An Yan

IPC分类号： G06F17/30 ,  G06N99/00 ,  G06N5/04

CPC分类号： G06F16/285 ,  G06F16/90335 ,  G06N5/04 ,  G06N20/00

摘要： 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.

摘要翻译： 与集成搜索框架结合使用以获得与搜索查询相关联的用户意图，然后基于派生意图的体系结构，选择搜索方法：搜索起始的当前本地设备上的本地搜索， - 本地搜索本地设备以外的数据源，或本地搜索和非本地搜索。 可以导出查询上下文以更有效地评估查询意图。 该架构采用通过候选功能训练的预测模型，可以预测综合搜索环境中的单一意图（或意向度）。 可以使用历史和实时功能训练模型。 使用特征训练分类器。 然后基于分类器输出导出用户意图，并相应地执行搜索。