Amazon Product datasets

The Amazon Product datasets consist of product information and user interactions across six domains, and they are used to evaluate the performance of recommendation algorithms.

Papers using Amazon Product datasets (6)

Benchmarking Deep Neural Networks for Modern Recommendation Systems2025Uncertainty-Aware Semantic Decoding for LLM-Based Sequential Recommendation2025LISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential Recommendation2025Layer-wise Relevance Propagation for Explainable Recommendations2018 · 6 citesA Zero Attentive Relevance Matching Networkfor Review Modeling in Recommendation System2021 · 4 citesA Hierarchical Self-attentive Convolution Network for Review Modeling in Recommendation Systems2020 · 2 cites