
Prof. Sang-Wook Kim
Hanyang University, South Korea
Speech Title: Recommendation Systems: Concepts, Techniques, and Applications
Abstract: These days, we have a large number of online items around us, such as products, content, and people, which makes users face difficulties in choosing the items that they are interested in. Good matching of each user to her/his preferred items is important to enhance users' experiences and companies’ profit, highlighting the necessity of recommendation systems. The recommendation system analyzes the characteristics of users’ past behaviors and then predicts the items with which individual users would be satisfied based on the analysis result. In this talk, we first introduce recommendation systems and discuss their key issues and techniques. We start with the concept of recommendation systems and introduce their real-world applications in various business fields. Next, we classify recommendation systems into three categories: content-based, collaborative-filtering-based, and trust-based approaches. Then, we describe a variety of machine-learning techniques employed in recommendation systems to provide users with better experiences. Finally, we present the state-of-the-art techniques for recommender systems recently developed at Hanyang University and show their effectiveness and efficiency with experimental results obtained via extensive evaluation.
Bio: Sang-Wook Kim received his Ph.D. degree in Computer Science from the Korea Advanced Institute of Science and Technology (KAIST) in 1994. In 2003, he joined Hanyang University, Seoul, Korea, where he is currently a professor at the Department of Computer Science & Engineering. He was recognized as a distinguished professor at Hanyang University in 2019. He has been a director of the Brain-Korea-21 research program since 2014 and has also been leading the SW STAR Lab Project since 2022. His research interests include databases, data mining, social network analysis, recommendation, and web data analysis. From 2009 to 2010, Professor Kim visited the Computer Science Department at Carnegie Mellon University as a Visiting Professor. From 1999 to 2000, he worked with the IBM T. J. Watson Research Center as a postdoc. He also visited the Computer Science Department of Stanford University as a Visiting Researcher in 1991. He is the author of over 200 papers in refereed international journals and international conference proceedings. He served on Program Committees of over 100 international conferences, including ACM KDD, ACM SIGIR, IEEE ICDE, IEEE ICDM, ACM WWW, and ACM CIKM. He is now an associate editor of two international journals: Information Sciences and Computer Science & Information Systems (ComSIS). He received the Presidential Award of Korea in 2017 for his academic achievement and has been a member of the National Academy of Engineering of Korea since 2019. He is a recipient of the Best Paper Honorable Mention Award of ACM KDD 2025. He is also a member of the ACM and a senior member of the IEEE.
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