June 18-21, 2019
Beijing, CN

Jianxun Lian
Research Associate, Microsoft

Jianxun Lian is now an associate researcher at Microsoft Research Asia. He’s published research papers as the first author on top international conferences such as KDD, WWW, and IJCAI. He received his PhD from the University of Science and Technology of China. His research interests include deep learning-based recommender systems and user modeling. In addition to academic research, he likes building practical systems and he was among the top winning teams in several data contests including IJCAI 2015, CIKM 2016, and RecSys Challenge 2017.


16:2017:00 Friday, June 21, 2019
Le Zhang (Microsoft), Jianxun Lian (Microsoft)
Enterprises benefit from recommendation systems for revenue and customer engagement, but creating such a system is time-consuming. Le Zhang and Jianxun Lian explore the Microsoft/Recommenders repository, which offers solutions to building recommendation systems. It contains classic and state-of-the-art algorithms from Microsoft and enables enterprise success by leveraging Azure's cloud capability. Read more.