Amazon-Book

Overview edit

Variants: Amazon-Book

Associated Benchmarks

This dataset is used in 2 benchmarks:

• Recommendation Systems - Metrics: nDCG@20, Recall@20, HR@10, NDCG@10, HR@50, NDCG@50
• Collaborative Filtering - Metrics: Recall@20, NDCG@20

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Why is Normalization Necessary for Linear Recommenders? (2025) -
• Retrieval with Learned Similarities (2024) -
• Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation (2024) -
• Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations (2024) -
• Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering (2024) -
• Blurring-Sharpening Process Models for Collaborative Filtering (2022) -
• Sapling Similarity: a performing and interpretable memory-based tool for recommendation (2022) -
• MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering (2022) -
• UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation (2021) -
• SimpleX: A Simple and Strong Baseline for Collaborative Filtering (2021) -
• LT-OCF: Learnable-Time ODE-based Collaborative Filtering (2021) -
• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (2020) -
• Neural Graph Collaborative Filtering (2019) -
• Self-Attentive Sequential Recommendation (2018) -