recommender systems

Representation Learning for Personalized Recommendation

Prof. Xiangliang Zhang

Sep 16, 12:00 - 13:00

B9 L2 H1 R2322

recommender systems e-commerce industry personalized recommendations learning representations user privacy

Abstract Recommender systems have already been successfully used in e-commerce industry and have been influencing our daily lives. We may all have got (personalized) recommendation of news, music, movies, videos, books, restaurants, hotels, etc. This talk will introduce the recent research in my group about promoting personalized recommendation by learning representations for users/objects to recommend. Examples of applications will be given for recommendation of the next movie to watch, the interesting research papers to read, the useful datasets to explore, and interesting places to visit

Machine Learning Models for Context Aware Recommendation Systems

Basmah Altaf, Ph.D., Computer Science

Nov 4, 10:00 - 11:00

B3 L5 R5209

recommender systems machine learning Deep learning contextual constraints popularity bias effect modeling quality recommendation

The goal of this thesis is to pave the way towards the next generation of recommendation systems tackling such real-world challenges to improve the user experience while giving good recommendations.

Tak Man Desmond Lee

M.S., Computer Science

recommender systems

Tak Man Desmond Lee obtained his Master's degree in Computer Science under the supervision of Professor Xiangliang Zhang at Machine Intelligence and kNowledge Engineering (MINE) Laboratory at King Abdullah University of Science and Technology (KAUST). First employment: Saudi Aramco, 2011. Research Interests Tak Man's research interests included Recommender systems. Selected Publications Xiangliang Zhang, Tak Man Desmond Lee, Georgios Pitsilis, " Securing Recommender Systems against Shilling Attacks Using Social-based Clustering". Journal of Computer Science and Technology, Springer, vol.28

Basmah Altaf

Ph.D., Computer Science

recommender systems data mining

Basmah Altaf obtained her Ph.D. degree in Computer Science under the supervision of Prof. Xiangliang Zhang at Machine Intelligence and kNowledge Engineering (MINE) Laboratory in King Abdullah University of Science and Technology (KAUST). Research Interests Basmah's research interests include Recommender systems and Data mining. Education Profile B. E., Computer & Information Systems, N.E.D. University of Engineering and Technology, Karachi, Pakistan, 2010. M. S., Computer Science, KAUST, 2013. Awards and Distinctions 'Gold Medal' for securing '1st Position' among 140 students in Bachelor