The Bandit's Blind Spot: The Critical Role of User State Representation in Recommender Systems

Documents similaires

• Exploitation Over Exploration: Unmasking the Bias in Linear Bandit Recommender Offline Evaluation
  par: Pires, Pedro R., et autres
  Publié: (2025)
• Collaborative Filtering Through Weighted Similarities of User and Item Embeddings
  par: Pires, Pedro R., et autres
  Publié: (2026)
• Learning Behaviorally Grounded Item Embeddings via Personalized Temporal Contexts
  par: Sereicikas, Rafael T., et autres
  Publié: (2026)
• Interact2Vec -- An efficient neural network-based model for simultaneously learning users and items embeddings in recommender systems
  par: Pires, Pedro R., et autres
  Publié: (2025)
• The Role of Fake Users in Sequential Recommender Systems
  par: Betello, Filippo
  Publié: (2024)