All Stories

  1. MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation
  2. Sequence-level Semantic Representation Fusion for Recommender Systems
  3. Rotative Factorization Machines
  4. EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention
  5. EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction
  6. Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems
  7. Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation