Paper TitleAuthors
Sequential Modeling with Multiple Attributes for Watchlist Recommendation in E-CommerceUriel Singer (Technion, Israel Institute of Technology)*; Haggai Roitman (IBM Research Haifa); yotam eshel (eBay); Alexander Nus (eBay); Ido Guy (eBay); Or Levi (eBay); Idan Hasson (eBay ); Eliyahu Kiperwasser (eBay)
Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized RecommendationsYu Song (Huazhong University of Science and Technology); Shuai Sun (Huazhong University of Science and Technology); Jianxun Lian (Microsoft Research Asia); Hong Huang (Huazhong University of Science and Technology)*; Yu Li (University of Electronic Science and Technology of China); Hai Jin (Huazhong University of Science and Technology); Xing Xie (Microsoft Research Asia)
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotionshijie zhang (The University of Queensland)*; Hongzhi Yin (The University of Queensland); Tong Chen (The University of Queensland); Zi Helen Huang (University of Queensland); Quoc Viet Hung Nguyen (Griffith University); Lizhen Cui (ShanDong University)
Personalized Transfer of User Preferences for Cross-domain RecommendationYongchun Zhu (Institute of Computing Technology, Chinese Academy of Sciences)*; Zhenwei Tang (King Abdullah University of Science and Technology); Yudan Liu (WeChat Search Application Department, Tencent); Fuzhen Zhuang (Institute of Artificial Intelligence, Beihang University); Ruobing Xie (WeChat Search Application Department, Tencent); Xu Zhang (WeChat Search Application Department, Tencent); Leyu Lin (WeChat Search Application Department, Tencent); Qing He (Institute of Computing Technology, Chinese Academy of Sciences)
Heterogeneous Global Graph Neural Networks for Personalized Session-based RecommendationYitong Pang (Tongji University)*; Lingfei Wu (JD.COM Silicon Valley Research Center); Qi Shen (Tongji University); Yiming Zhang (Tongji University); Zhihua Wei (Tongji University); Fangli Xu (College of William and Mary); Ethan Chang (Middlesex School); Bo Long (; Jian Pei (Simon Fraser University)
Towards Unbiased and Robust Causal Ranking for Recommender SystemsTeng Xiao (Pennsylvania State University)*; Suhang Wang (Pennsylvania State University)
The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?Jin Yao Chin (Nanyang Technological University)*; Yile Chen (Nanyang Technological University); Gao Cong (Nanyang Technological Univesity)
Contrastive Meta Learning with Behavior Multiplicity for RecommendationWei Wei (South China University of Technology); Chao Huang (University of Hong Kong)*; Lianghao Xia (South China University of Technology); Yong Xu (South China University of Technology); Jiashu Zhao (Wilfrid Laurier University); Dawei Yin (Baidu)

Event Timeslots (1)

Thu (Feb. 24)
Recommendation (8 papers, 15 mins each). Session chair: Mounia Lalmas-Roelleke