主题：Building a User Knowledge Graph Based on Human Behavioral Data  

　　报 告 人：谢幸 研究员（微软亚洲研究院） 

　　报告摘要：  

　　With the rapid development of positioning, sensor and smart device technologies,  

　　large quantities of human behavioral data are now readily available.  

　　They reflect various aspects of human mobility and activities in the physical world. 

　　The availability of this data presents an unprecedented opportunity to gain a more 

　　in depth understanding of users and provide them with personalized online experience  

　　while respecting their privacy. In this talk, I will describe our vision of building  

　　a unified user knowledge graph which supplements existing knowledge graphs with  

　　information generated from both public and personal user data, e.g. check-in trajectories, mobile communication histories and environmental sensor readings.  

　　I will also present our recent research efforts supporting this objective,  

　　including user linking across multiple networks, user mobility understanding  

　　and prediction, psychological trait inference and life pattern analysis. 

　　报告人简介： 谢幸博士，微软亚洲研究院高级研究员，中国科学技术大学兼职博士生导师，ACM、IEEE和中国计算机学会高级会员，ACM SIGSPATIAL中国分会主席。ACM Transactions on Intelligent Systems and Technology、GeoInformatica、Pervasive and Mobile Computing、Journal of Location Based Services和中国计算机学会通讯等期刊编委，多次担任WWW、UbiComp、ACM SIGSPATIAL、KDD等顶级国际会议程序委员会委员。率领团队在空间数据挖掘、位置服务、社交网络和普适计算等领域开展了创新性研究，在计算机领域国际会议和学术期刊上发表了140余篇学术论文，并拥有50余项发明专利。  

　　报告时间：2014年3月28日上午9：00 

　　地 点：中科院地理资源所2321会议室 

        主 持 人：陆 锋 研究员