Tutorial 2. Tuesday, June 11th 09:00-10:30 (#103, 1F)

Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and EvaluationsPresentation Material

by Hui Fang (Shanghai University of Finance and Economics, China), Guibing Guo (Northeastern University, China), Danning Zhang (Shanghai University of Finance and Economics, China), and Yiheng Shu (Northeastern University, China)

Short Bios :

Hui Fang (Assistant Professor, School of Information Management and Engineering, Shanghai University of Finance and Economics, China)

Dr. Hui Fang is an Assistant Professor in Research Institute for Interdisciplinary Sciences. She received her Ph.D. from the School of Computer Engineering, Nanyang Technological University, Singapore. Her main research interests include trust prediction in online communities, personalized product/social recommendation, link prediction and data-driven decision making. Her research has been published in top conferences like IJCAI, AAA and AAMAS. Presently she is the Associate Editor of the ECRA journal, and invited referees of other journals like TKDE, Cybernetics, and DSS. She also serves as a Program Committee Member for international conferences, including UMAP and IJCAI, etc.


Guibing Guo (Associate Professor, Software College, Northeastern University, China)

Dr. Guibing Guo is an Associate Professor in the Software College, Northeastern University, Shenyang, China. He received a Ph.D degree in computer science at Nanyang Technological University, and did a post-doc at Singapore Management University. His research interests include recommender systems, deep learning, social network analysis and data mining. The main research focus is to resolve the challenges of recommender systems, including data sparsity, cold start, diversity and so on. He is the original author (and now the team leader) of the open-source library for recommender systems, LibRec, which implements a large number (over 90) of recommender algorithms.


Yiheng Shu (Software College, Northeastern University, China)

Yiheng Shu is an undergraduate student of Software College, Northeastern University, Shenyang, China. His research interests are recommender system and deep learning.

Danning Zhang (School of Information Management and Engineering, Shanghai University of Finance and Economics, China)

Danning Zhang is an undergraduate at Shanghai University of Finance and Economics, China. Her research interests are recommender system and deep learning.
Brief Description : Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations With the development of e-commerce and deep learning technique, deep learning based sequential recommendation has become a hot topic in recommender system field. In this tutorial, we will (1)give a comprehensive overview of sequential recommender systems based on DL techniques. (2)show an original classification framework for sequential recommendation, corresponding to three different recommendation scenarios, and then introduce the representative algorithms under each scenario. (3)summarize the influential factors for typical DL-based sequential recommendation and demonstrate their effects by empirical studies, which can serve as a guidance for sequential recommendation research and practices. (4)summarize challenges of sequential recommender system, and future research directions.