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Workshop Program

Date: Tuesday, 17 November 2020
Central Europe Time (UTC+1:00)
New York Time(UTC-4:00)
Sydney Time (UTC+11:00)
Event
Chair
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