All Stories

  1. Embedding in Recommender Systems: A Survey
  2. SAGE: Global Semantic Alignment with LLMs for Long-Tail Sequential Recommendation
  3. Function Calling in Large Language Models: Industrial Practices, Challenges, and Future Directions
  4. SPARK: Adaptive Low-Rank Knowledge Graph Modeling in Hybrid Geometric Spaces for Recommendation
  5. FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
  6. STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
  7. DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
  8. Conformal Counterfactual Inference under Hidden Confounding
  9. Large Multimodal Model Compression via Iterative Efficient Pruning and Distillation
  10. SMLP4Rec: An Efficient All-MLP Architecture for Sequential Recommendations
  11. Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data
  12. AutoMLP: Automated MLP for Sequential Recommendations
  13. Causal Disentanglement for Implicit Recommendations with Network Information