Amazon Product Benchmark
Emerging5papers using it
2020first seen
The 'Amazon Product Benchmark' is a dataset that contains user and item reviews used to evaluate the effectiveness of recommendation systems.
Papers using Amazon Product Benchmark (5)
- Benchmarking Deep Neural Networks for Modern Recommendation SystemsUncertainty-Aware Semantic Decoding for LLM-Based Sequential RecommendationLISRec: Modeling User Preferences with Learned Item Shortcuts for Sequential RecommendationA Zero Attentive Relevance Matching Networkfor Review Modeling in
Recommendation SystemA Hierarchical Self-attentive Convolution Network for Review Modeling in
Recommendation Systems