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1. 发明申请

WO2015131306A1 DYNAMICS OF TIE STRENGTH FROM SOCIAL INTERACTION 审中-公开
标题翻译：社会互动强度的动态
公开(公告)号：WO2015131306A1
公开(公告)日：2015-09-11
申请号：PCT/CN2014/072785
申请日：2014-03-03
申请人： MICROSOFT TECHNOLOGY LICENSING, LLC , YUAN, Jing , XIE, Xing , RUI, Yong
发明人： YUAN, Jing , XIE, Xing , RUI, Yong
IPC分类号： G06F17/30
CPC分类号： G06Q50/01 , G06Q10/10
摘要： Systems and methods for observing friendships and social interactions between users of online communication platforms and ranking the users of the platforms to indicate likelihood of a user responding to a communication are described herein. At least one embodiment includes calculating a degree of intimacy using a degree of reciprocity, affinity calculation, sentiment value, self-disclosure value, and/or responsiveness value derived from communications initiated by a first user of a platform and directed communications from a second user of the platform in response to communications initiated by the first user. Degree of intimacy may be leveraged to rank two or more users of the platform and the ranking may be leveraged to predict which of the two or more users is more likely to respond to a communication from the first user. Various graphical user interfaces capable of producing visualizations of user intimacy and views of communication platforms are also described.
摘要翻译：本文描述了用于观察在线通信平台的用户之间的友谊和社交交互的系统和方法，并对平台的用户进行排名以指示用户响应通信的可能性。至少一个实施例包括使用由平台的第一用户发起的通信和来自第二用户的定向通信导出的互惠程度，亲和度计算，情感值，自我披露值和/或响应度值来计算亲密度的响应于由第一用户发起的通信。可以利用亲密程度对平台的两个或多个用户进行排名，并且可以利用排名来预测两个或更多个用户中的哪一个更可能响应来自第一用户的通信。还描述了能够产生用户亲密可视化和通信平台视图的各种图形用户界面。

2. 发明申请

WO2014194480A1 AIR QUALITY INFERENCE USING MULTIPLE DATA SOURCES 审中-公开
标题翻译：使用多个数据源的空气质量控制
公开(公告)号：WO2014194480A1
公开(公告)日：2014-12-11
申请号：PCT/CN2013/076749
申请日：2013-06-05
申请人： MICROSOFT CORPORATION , ZHENG, Yu , XIE, Xing , MA, Wei-Ying , HON, Hsiao-Wuen , CHANG, Eric I-Chao
发明人： ZHENG, Yu , XIE, Xing , MA, Wei-Ying , HON, Hsiao-Wuen , CHANG, Eric I-Chao
IPC分类号： G06F19/00 , G06N3/08
CPC分类号： G06N7/005 , G06N3/08 , G06N99/005
摘要： The use of data from multiple data source provides inferred air quality indices with respect to a particular pollutant for multiple areas without the addition of air quality monitor stations to those areas. Labeled air quality index data for a pollutant in a region may be obtained from one or more air quality monitor stations. Spatial features for the region may be extracted from spatially-related data for the region. The spatially-related data may include information on fixed infrastructures in the region. Likewise, temporal features for the region may be extracted from temporally-related data for the region that changes over time. A co-training based learning framework may be further applied to co-train a spatial classifier and a temporal classifier based at least on the labeled air quality index data, the spatial features for the region, and the temporal features for the region.
摘要翻译：使用多个数据源的数据可以为多个地区的特定污染物提供推测的空气质量指标，而无需向这些地区添加空气质量监测站。可以从一个或多个空气质量监测站获得区域中污染物的标签空气质量指数数据。该区域的空间特征可以从该区域的空间相关数据中提取。与空间有关的数据可能包括有关该地区固定基础设施的信息。类似地，可以从随时间变化的区域的时间相关数据中提取该区域的时间特征。基于共同训练的学习框架可以进一步应用于至少基于标记的空气质量指数数据，区域的空间特征以及该区域的时间特征来共同训练空间分类器和时间分类器。

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