Title：Recommendations in Mobile and Pervasive Environments
Speaker：Prof. Hui Xiong
Host：Prof. Sen Su
Time：December 8th,2014 (Wednesday) 3:00 PM
Location：New Research Building Room 510
Abstract：
Advances in mobile technologies have allowed us to collect and process massive amounts of mobile data across many different mobile applications. If properly analyzed, this data can be a source of rich intelligence for providing real-time decision making in various mobile applications and for the provision of mobile recommendations. Indeed, mobile recommendations constitute an especially important class of recommendations because mobile users often find themselves in unfamiliar environments and are often overwhelmed with the "new terrain" abundance of unfamiliar information and uncertain choices. Therefore, it is especially useful to equip them with the tools and methods that will guide them through all these uncertainties by providing useful recommendations while they are "on the move." In this talk, we aim to address the unique challenges of recommendations in mobile and pervasive environments from both theoretical and practical perspectives. Specifically, we provide a number of case studies which help to understand commonality and diversity of mobile recommendation techniques across different application domains. Also, we introduce how to do mobile recommendations with security and privacy awareness.
Prof. Hui Xiong Bio：
Dr. Hui Xiong is currently a Full Professor and the Director of Rutgers Center for Information Assurance at Rutgers, the State University of New Jersey, where he received a two-year early promotion/tenure (2009), the Rutgers University Board of Trustees Research Fellowship for Scholarly Excellence (2009), and the ICDM-2011 Best Research Paper Award (2011). Dr. Xiong received his Ph.D. in Computer Science from the University of Minnesota (UMN), USA, in 2005, the B.E. degree in Automation from the University of Science and Technology of China (USTC), China, and the M.S. degree in Computer Science from the National University of Singapore (NUS), Singapore. 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 applications. He has published prolifically in refereed journals and conference proceedings (3 books, 50+ journal papers, and 70+ conference papers). He is the co-Editor-in-Chief of Encyclopedia of GIS by Springer, and an Associate Editor of IEEE Transactions on Knowledge and Data Engineering (TKDE) as well as the Knowledge and Information Systems (KAIS) journal. He has served regularly on the organization and program committees of numerous conferences, including as a Program Co-Chair of the Industrial and Government Track for the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), a Program Co-Chair for the IEEE 2013 International Conference on Data Mining (ICDM-2013), and a General Co-Chair for the IEEE 2015 International Conference on Data Mining (ICDM-2015). He is an ACM Distinguished Scientist.
SKL-NST
December 8th,2014
