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Tutorial
Mon 17:00 Fair and Socially Responsible ML for Recommendations: Challenges and Perspectives
Ashudeep Singh · Manish Raghavan · Hannah Korevaar
Poster
Tue 14:00 Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy
Leyan Deng · Defu Lian · Chenwang Wu · Enhong Chen
Poster
Thu 14:00 Using Partial Monotonicity in Submodular Maximization
Loay Mualem · Moran Feldman
Poster
Wed 14:00 Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
Chunyu Wei · Jian Liang · Di Liu · Fei Wang
Poster
Thu 14:00 Revisiting Injective Attacks on Recommender Systems
Haoyang LI · Shimin DI · Lei Chen
Poster
Federated Submodel Optimization for Hot and Cold Data Features
Yucheng Ding · Chaoyue Niu · Fan Wu · Shaojie Tang · Chengfei Lyu · yanghe feng · Guihai Chen
Poster
Wed 14:00 Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
An Zhang · Wenchang Ma · Xiang Wang · Tat-Seng Chua
Poster
Tue 9:00 Recommender Forest for Efficient Retrieval
Chao Feng · Wuchao Li · Defu Lian · Zheng Liu · Enhong Chen
Poster
Wed 14:00 On the Generalizability and Predictability of Recommender Systems
Duncan McElfresh · Sujay Khandagale · Jonathan Valverde · John Dickerson · Colin White
Poster
Tue 14:00 A Spectral Approach to Item Response Theory
Duc Nguyen · Anderson Ye Zhang
Poster
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records
Hongda Sun · Shufang Xie · Shuqi Li · Yuhan Chen · Ji-Rong Wen · Rui Yan
Poster
Tenrec: A Large-scale Multipurpose Benchmark Dataset for Recommender Systems
Guanghu Yuan · Fajie Yuan · Yudong Li · Beibei Kong · Shujie Li · Lei Chen · Min Yang · Chenyun YU · Bo Hu · Zang Li · Yu Xu · Xiaohu Qie