AmazonElectronics
Emerging5papers using it
2024first seen
The 'AmazonElectronics' dataset is a benchmark used to evaluate recommendation systems, containing user interactions and product information specifically from the electronics category on Amazon.
Papers using AmazonElectronics (5)
- LLM4Rec: Large Language Models for Multimodal Generative Recommendation with Causal DebiasingAgenticRAG: Tool-Augmented Foundation Models for Zero-Shot Explainable Recommender SystemsRecMind: LLM-Enhanced Graph Neural Networks for Personalized Consumer RecommendationsA Framework for Generating Conversational Recommendation Datasets from Behavioral InteractionsA Collaborative Ensemble Framework for CTR Prediction