信息科学技术学院计算机科学系学术报告（五）

 题  目：Towards the Next Generation of Mobile Recommender Systems
报告人：Associate Prof. Hui Xiong Rutgers University，USA
主持人：姚国祥 教授
时 间：12月12日（周日）下午3:00
地 点：教学大楼A314
 
报告摘要：Recommender systems aim to identify content of interest from overloaded information by exploiting the opinions of a community of users. Developing personalized recommender systems in mobile and pervasive environments is more challenging than developing recommender systems from traditional domains due to the complexity of spatial data, the unclear roles of context-aware information, and the increasing availability of environment-sensing capabilities. In this talk, we introduce the unique features that distinguish pervasive personalized recommendation systems from classic recommendation systems. An examination of major research needs in pervasive personalized recommendation research reveals some new opportunities for personalized recommendation in mobile and pervasive applications.
 
报告嘉宾简介：Dr. Hui Xiong received his Ph.D. from the University of Minnesota. He is currently an Associate Professor at Rutgers University, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), an IBM ESA Innovation Award (2008), the Junior Faculty Teaching Excellence Award (2007) and the Junior Faculty Research Award (2008) at the RutgersBusinessSchool. His general area of research is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for emerging data intensive business applications. He is an Associate Editor of the Knowledge and Information Systems journal. He has served regularly in the organization committees and the program committees of a number of international conferences and workshops.  
   
        热烈欢迎广大感兴趣的师生参加！
 
 
 

                                                              信息科学技术学院
                                   二〇一〇年十二月九日
 

作者：吉念宁