Recommender Systems (PDF)

Dongsheng Li has been a principal research manager with Microsoft Research Asia (MSRA) since February 2020. His research interests include recommender systems and general machine learning applications. He has published over 100 papers in top-tier conferences and journals and has served as a program committee member for leading conferences.

Dr. Jianxun Lian graduated from the University of Science and Technology of China and is currently a senior researcher with Microsoft Research Asia. His research interests mainly include recommendation systems, user modeling, and deep-learning-related technologies.Le Zhang is a machine learning architect with Standard Chartered Bank. He has extensive experience in applying cutting-edge machine learning and artificial intelligence technology to accelerate digital transformation for enterprises and start-ups.



Kan Ren is a senior researcher with Microsoft Research. His main research interests include spatiotemporal data mining, reasoning, and decision optimization with applications in healthcare, recommender systems, and finance. Kan has published many papers in top-tier conferences on machine learning and data mining.

Tun LU is currently a full professor with the School of Computer Science, Fudan University, China. His research interests include computer-supported cooperative work (CSCW), social computing, recommender systems, and human-computer interaction (HCI). He has published more than 80 peer-reviewed publications in prestigious conferences and journals.

Tao Wu is a Principal Applied Science Manager at Microsoft's Business Applications and Platform Group, and leading product development efforts utilizing large language models and generative AI. He spearheaded the creation of the Microsoft Recommenders project (recently donated to the Linux Foundation), which has become one of the most popular open source projects on recommender systems. Prior to Microsoft, Tao held various