各位同仁：
IEEE CS Nanjing Chapter 5月18日13：30~15：40在南京大学蒙民伟楼404举行学术报告会，信息如下。欢迎参加！

报告一：

题目：Using Computers to Find Out the Truth

报告人：Professor Boi Faltings

ECCAI Fellow, Director of AI Lab

Faculty of Information and Communication Sciences

Swiss Federal Institute of Technology, Lausanne, Switzerland

时间：5月18日 13:30-14:30

地点：蒙民伟楼404会议室

摘要：One of the major problems for decision makers today is that they are far removed from the details that are often crucial for the success of their plans. On the other hand, the people who know these details are often not likely to report them truthfully, as it is not in their best interest to do so. The anonymity afforded by computing systems can help in this situation. I present several approaches to eliciting truthful information, in particular scoring rules, peer prediction methods and opinion polls.

简介：Boi Faltings is a full professor of computer science and director of the AI lab. His main research contributions are in the area of qualitative and case-based reasoning, constraint programming, distributed problem-solving, and recommender systems. He has co-founded 6 companies in e-commerce and computer security and acted as advisor to several other companies world-wide. Prof. Faltings has published over 300 refereed papers and graduated over 25 Ph.D. students, several of which have won national and international awards. Boi Faltings is a fellow of the European Coordinating Committee for Artificial Intelligence. He has served as head of the computer science department from 1996-1998 and as head of the Institute of Core Computing Sciences from 2005-2008. He serves or served as associate editor of several journals, in particular the AI Journal (2000-2008), JAIR (2004-2007), Annals of AI and Mathematics (2008-today), and as member of editorial boards (AI Communications, AI Magazine, Constraints, and others). He also regularly serves in conference committees (IJCAI, AAAI, ECAI, and others) and have been program (co-)chair of several workshops and conferences. He holds a Diploma from ETH Zurich and a Ph.D. from the University of Illinois at Urbana-Champaign.

报告二：

题目：User Experience and Technology Acceptance Issues in Recommender Systems

报告人：Dr. Pearl PU

Director of Human Computer Interaction Group

Faculty of Information and Communication Sciences

Swiss Federal Institute of Technology, Lausanne, Switzerland

时间：5月18日 14:40-15:40

地点：蒙民伟楼404会议室

摘要：As online stores offer practically an infinite shelf space, recommender systems are playing an increasingly important role in helping users *search* and *discover* items that they may want to buy. In this talk, I first start with a brief survey of the rating based social recommender systems and their applications in online industry. I will then spend some time discussing some of the unsolved issues, especially concerning user adoption problems such as the cold start phenomena, users’ acceptance of recommendations, and personalization. The main part of the talk focuses on the technology behind critiquing based recommender (CBR) systems. Even though they may not address all of the user issues, CBR systems offer some effective solutions. They do not require users to leave traces of their interests via behavioral patterns. Instead, they encourage users to express them via the interface. Moreover, since users are completely involved in the preference elicitation process in such systems, users feel more in control of the recommendation process, and as a consequence they are more convinced of the products recommended to them. I will finish the talk by explaining the baggage carousel phenomenon and show you how critiquing based recommender systems enable users find personalized items without expending extra interaction effort. Through the analysis of some of our empirical studies, I hope to reveal to you some insights on the effective design of recommender systems for scalable user adoption.

简介：Dr. Pearl Pu is the director of the Human Computer Interaction Group in the School of Computer and Communication Sciences at the Swiss Federal Institute of Technology in Lausanne. Her research interests include decision support, electronic commerce, online consumer decision behavior, product recommender systems, travel planning tools, trust-inspiring interfaces for recommender agent, music recommenders, scalable user experience, and social navigation. She has been recently elected as the general chair for the ACM international conference on Recommender Systems (Recsys 2008) and ACM international conference on Intelligent User Interfaces (IUI 2011), and program co-chair of the ACM international conference in Electronic Commerce (EC 2009) and Adaptive Hypermedia and Adaptive Web-Based Systems (AH 2008).She is an associate editor of IEEE Transactions on Multimedia. She obtained her Master and Ph.D. degrees from the University of Pennsylvania in artificial intelligence and computer graphics. She was a visiting scholar at Stanford University in 2001, both in the database and HCI groups.