Book-Crossing
Canonical8papers using it
2021first seen
The 'Book-Crossing' dataset contains user ratings for books and is used to evaluate recommendation systems, particularly in the context of sequential recommendation tasks.
Papers using Book-Crossing (8)
- Deep recommendation algorithm based on reviews and descriptions neural matrix factorization under cold-startMembership Inference Attack against Large Language Model-based Recommendation Systems: A New Distillation-based ParadigmReading Between the Lines: A Study of Thematic Bias in Book Recommender SystemsRetaGNN: Relational Temporal Attentive Graph Neural Networks for
Holistic Sequential RecommendationThe Unfairness of Popularity Bias in Book RecommendationPopularity Bias in Collaborative Filtering-Based Multimedia Recommender
SystemsCollaborative Recommendation Model Based on Multi-modal Multi-view
Attention Network: Movie and literature casesKnowledge Graph Driven Recommendation System Algorithm