Date: Tuesday, 17 November 2020| 1:00pm – 1:10pm | 8:00am – 8:10am | 11:00pm – 11:10pm | Welcome and Opening Yan Wang, Longbing Cao and Ivor Tsang | Yan Wang |
| 1:10pm – 1:45pm | 8:10am –8:45am | 11:10pm – 11:45pm | Invited Talk 1 (30’+5’) Lina Yao Adversarial Learning in Deep Learning based Recommender Systems Video |
Yan Wang |
| 1:45pm – 2:20pm | 8:45am – 9:20am | 11:45pm – 00:20am (Nov 18) | Invited Talk 2 (30’+5’) Shlomo Berkovsky Health Personalisation: From Wellbeing to Medicine Video |
Shoujin Wang |
| 2:20pm – 2:55pm | 9:20am – 9:55am | 00:20am – 00:55am | Invited talk 3 (30’+5’) Tong Chen Substitute Recommendation: Addressing Personalization and Interpretability Video |
Shoujin Wang |
| 3:00pm – 3:55pm | 10:00am – 10:55am | 1:00am – 1:55am | Session 1 (13’*3 + 5’*3) MARS-gym: A Gym Framework to Model, Train, and Evaluate Recommender Systems for Marketplaces (Long presentation) Marlesson Santana, Luckeciano Melo, Fernando Camargo, Bruno Brandão, Anderson Soares, Renan Oliveir, and Sandor Caetano Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering (Long presentation) Zheda Mai, Ga Wu, Kai Luo, and Scott Sanner Interactive Knowledge Graph Attention Network for Recommender Systems (Long presentation) Li Yang, Shijia E, Shiyao Xu, and Yang Xian μ-cf2vec: Representation Learning for Personalized Algorithm Selection in Recommender Systems (Short presentation) Tomas Sousa Pereira, Carlos Soares, and Tiago Cunha Attentive-feature Transfer based on Mapping for Cross-domain Recommendation Algorithm (Short presentation) Zhen Liu Cross-session Aware Temporal Convolutional Network for Session Based Recommendation (Short presentation) Rui Ye, Qing Zhang, and Hengliang Luo |
Shoujin Wang |
| 4:00pm – 4:50pm | 11:00am – 11:50am | 2:00am – 2:50am | Keynote Speech 1 (45’+5’) Jie Zhang Deep Learning-Based Recommendation Models with Side Information Video |
Shoujin Wang |
| 5:00pm –5:55pm | 12:00pm – 12:55pm | 3:00am –3:55am | Session 2 (13’*4) Enhancing Multi-factor Friend Recommendation in Location-based Social Networks (Long presentation) Bassem Samir and Neamat El-Tazi A Hierarchical Knowledge and Interest Propagation Network for Recommender Systems (Long presentation) Qinghong Chen, Huobin Tan, Guangyan Lin, and Ze Wang DGTN: Dual-channel Graph Transition Network for Session-based Recommendation (Long presentation) Yujia Zheng, Siyi Liu, Zekun Li, and Shu Wu A Recommender Algorithm: Gradient Recurrent Neural Network Applied to Yang-baxter-like Equation (Long presentation) Ying Liufu, Long Jin, Shuai Li, and Mei Liu |
Liang Hu |
| 6:00pm –6:50pm | 1:00pm –1:50pm | 4:00am – 4:50am | Keynote Speech 2 (45’+5’) Francesco Ricci Computing Effective Recommendations for Clusters of Tourists Video |
Liang Hu |
| 7:00pm – 7:55pm | 2:00pm – 2:55pm | 5:00am – 5:55am | Session 3 (13’*3 + 5’*3) Revenue Maximization using Multitask Learning for Promotion Recommendation (Long presentation) Venkataramana Kini and Ashwin Manjunatha Hybrid GNN-SR: Combining Unsupervised and Supervised Graph Learning for Session-based Recommendation (Long presentation) Kai Deng, Jiajin Huang, and Jin Qin Scenario-aware and Mutual-based Approach for Multi-scenario Recommendation in E-Commerce (Long presentation) Yuting Chen, Yanshi Wang, Yabo Ni, Anxiang Zeng, and Lanfen Lin Efficient Distributed MST based Clustering for Recommender System (Short presentation) Ahmad Shahzad and Frans Coenen GCMCSR:A New Graph Convolution Matrix Complete Method with Side-information Reconstruction (Short presentation) Kun Niu, Yicong Yu, Xipeng Cao, and Chao Wang Hybrid Learning with Teacher-student Knowledge Distillation for Recommenders (Short presentation) Hangbin Zhang, Raymond Wong, and Victor Chu |
Ahmad Shahzad |
| 7:55pm – 8:00pm | 2:55pm – 3:00pm | 5:55am – 6:00am | Closing Remark Liang Hu, Shoujin Wang | Liang Hu |