Contextualizing Recommendations

4th Workshop on Context-Aware Recommender Systems; in conjunction with the 6th ACM Conference on Recommender Systems (RecSys 2012)

Francesco Ricci Free University of Bozen-Bolzano ; Italy [e-mail]

Others  :  http://ceur-ws.org/Vol-889/keynote.pdf
PID  :  41319

来源: CEUR

【 摘 要 】

ACT State of the art recommendation techniques still cannot fully explain and predict the information needs of the user while is searching for items such as news, services or products. In fact, the specific ephemeral needs of the user, the context of the search, and the context of items’ usage, do influence the user’s response to, and evaluation for items. Hence, RSs should take into account this information to deliver recommendations that users would judge as appropriate to their situations. Context modeling and context-dependent reasoning is a complex subject and there are still major technical and practical difficulties to solve: obtain sufficient and reliable data describing the user prefer-ences in context; selecting the right contextual information, i.e., relevant in a particular personalization task; understanding the impact of the contextual dimensions on the user decision making process; embedding the contextual dimensions in a recommendation computational model. These topics will be illustrated in the talk, making examples taken from the recommender systems that we have developed. ABOUT THE KEYNOTE SPEAKER Francesco Ricci is associate professor of computer science at the Free University of Bozen-Bolzano, Italy. His current research interests include recommender systems, intelligent interfaces, mobile systems, machine learning, case-based reasoning, and the applications of ICT to tourism.He has published more than one hundred of academic papers on these topics. He is on the editorial board of Journal of Infor-mation Technology & Tourism and the Journal of User Modeling and User Adapted Interaction. He is member of the steering committee of the ACM Conference on Recommender Systems. He served on the program committees of several conferences, including as a program co-chair of the ACM Conference on Recommender Systems (RecSys), the International Conference on Case-Based Reasoning (ICCBR) and the International Conference on Information and Communication Technologies in Tourism (ENTER).