公开(公告)号：US11514011B2

公开(公告)日：2022-11-29

申请号：US15579522

申请日：2016-06-03

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Thomas Moscibroda ,  Liang Jeff Chen ,  Xiao Huang ,  Ying Yan ,  Yueguo Chen ,  Xudong Zheng ,  Haoqiong Bian

IPC: G06F16/22 ,  G06F16/2453 ,  G06F16/2457 ,  G06F16/2455 ,  G06F17/18

Abstract: Systems, methods, and computer-readable media for determining column ordering of a data storage table for search optimization are described herein. In some examples, a computing system is configured to receive input containing statistics of a plurality of queries. The computing system can then determine a new column order (i.e., layout) based at least in part on the statistics. In some example techniques described herein, the computing system can determine the new column order based at least in part on the hardware components storing the data storage table, storage system parameters, and/or user preference information. Example techniques described herein can apply the new column order to data subsequently added to the data storage table. Example techniques described herein can apply the new column order to existing data in the data storage table.

公开(公告)号：US10366131B2

公开(公告)日：2019-07-30

申请号：US15161050

申请日：2016-05-20

Applicant: Microsoft Technology Licensing, LLC

Inventor： Ryen W. White ,  Zijian Zheng ,  An Yan ,  Xiao Huang ,  Yu Wang

IPC: G06F16/2457 ,  G06F16/9535 ,  G06F16/9537 ,  G06F9/48 ,  G06N5/02 ,  G06N7/00 ,  G06F17/30

Abstract: The concepts relate to task completion and specifically to aiding a user to complete an unfinished task at a subsequent time and/or on another device. One example can identify that a user is working on a task on a computing device associated with the user. In an instance when the user stops using the computing device without completing the task, the example can predict a likelihood that the user will subsequently resume the task on a second computing device associated with the user. In an instance where the likelihood exceeds a threshold, the example can attempt to aid the user in completing the task on the second computing device.

公开(公告)号：US20170039269A1

公开(公告)日：2017-02-09

申请号：US15303951

申请日：2014-03-26

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

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

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

CPC classification number: G06F16/285 ,  G06F16/90335 ,  G06N5/04 ,  G06N20/00

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.

Abstract translation: 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。