jiaweichen

Latest

• Understanding Contrastive Learning via Distributionally Robust Optimization
• CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System
• On the Effectiveness of Sampled Softmax Loss for Item Recommendation
• Discriminative-Invariant Representation Learning for Unbiased Recommendation
• A Generic Learning Framework for Sequential Recommendation with Distribution Shifts
• Unbiased Knowledge Distillation for Recommendation
• Adap-τ: Adaptively Modulating Embedding Magnitude for Recommendation
• On the Theories Behind Hard Negative Sampling for Recommendation
• Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
• KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos
• KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems
• Bias and Debias in Recommender System: A Survey and Future Directions
• Time-aware Path Reasoning on Knowledge Graph for Recommendation
• Interactive Hypergraph Neural Network for Personalized Product Search
• DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
• Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System
• AutoDebias: Learning to Debias for Recommendation
• On the Equivalence of Decoupled Graph Convolution Network and Label Propagation