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