(本頁只設英文版本)
Prof. Joseph A. Konstan from University of Minnesota, USA visited the Department and delivered a Distinguished Lecture on “Recommender Systems: Beyond Machine Learning” on 10 January 2018. In the lecture, Prof. Konstan described successes and failures in moving beyond basic machine learning approaches to recommender systems to emphasize factors tied to user behavior and experience. The lecture was full of constructive interaction and well received.
Prof. Joseph A. Konstan is Distinguished McKnight University Professor and Distinguished University Teaching Professor in the Department of Computer Science and Engineering at the University of Minnesota. His research addresses a variety of human-computer interaction issues, including personalization (particularly through recommender systems), eliciting on-line participation, and designing computer systems to improve public health. He is probably best known for his work in collaborative filtering recommenders (the GroupLens project, work which won the ACM Software Systems Award and Seoul Test of Time Award). Prof. Konstan received his Ph.D. from the University of California, Berkeley in 1993. He is a Fellow of the ACM, IEEE, and AAAS, and a member of the CHI Academy. He is co-Chair of the ACM Publications Board, served as President of ACM SIGCHI and is a member of the ACM Council.
