User Modeling and Big Data


User modeling is becoming increasingly important in the Big Data era, especially for data involving users’ social and mobile activities. In social media and mobile applications, accurate user models can provide critical support for various intelligent learning and recommendation functions. In this talk, I will start with several examples of user modeling in social and mobile applications that we are working on. We then explore how user models relate to facets of big data in several aspects, including learnability, efficiency and scalability.


Prof. Qiang YANG
Department of Computer Science & Engineering
The Hong Kong University of Science and Technology

Date & Time

11 Jun 2015 (Thursday) 15:30 - 16:30


E11-4045 (University of Macau)

Organized by

Department of Computer and Information Science


Qiang Yang is the New Bright University Named Chair Professor of Engineering and department head of the Department of Computer Science and Engineering, Hong Kong University of Science and Technology. His research interests are data mining, machine learning and artificial intelligence. He is a fellow of AAAI, IEEE, IAPR and AAAS, and ACM Distinguished Scientist. He received his PhD degree in Computer Science from University of Maryland, College Park in 1989, and had been a faculty member at University of Waterloo and Simon Fraser University in Canada. He had been the founding Editor in Chief of ACM Transactions on Intelligent Systems and Technology (ACM TIST) between 2009 and 2014, and is the founding Editor in Chief of IEEE Transactions on Big Data. He has been conference and program chairs for international conferences such as ACM KDD 2010 and 2012, ACM IUI 2010, IEEE Big Data 2013, ACM RecSys 2013 and International Joint Conference on Artificial Intelligence (IJCAI) in 2015.