Seminars
December 09, 2019: Prof. Hady Lauw, Preference Learning from Multimodal Data
With pervasive digitization, two trends are emerging. One is the proliferation of choices in our consumption of both physical and digital goods and services. The other is the “datafication” of our behaviors, whereby users’ preferences increasingly manifest through multiple modalities of preference signals, e.g., consumptions, ratings, reviews, networks, images. The first points to the challenge of helping users to navigate the ever-expanding universe of options. The second points to the opportunity of harnessing data in modeling user preferences. In this talk, we provide an overview of our research in learning and modeling user preferences from multi-modal preference signals.
Speaker: Prof. Hady Lauw, Singapore Management Univ.
Time: 2019-12-09
Venue: E3-212, 144 Xuan Thuy, Cau Giay, Hanoi
Hady Lauw is an Associate Professor of Information Systems at Singapore Management University, as well as NRF Fellow of the Singapore National Research Foundation. Formerly, he served as postdoctoral researcher at Microsoft Research in Silicon Valley, as well as scientist at A*STAR’s Institute for Infocomm Research. Earlier, he received his Ph.D. from Nanyang Technological University. He is currently serving as the Chair of the Singapore Chapter of ACM SIGKDD. For more information, see http://www.hadylauw.com.