Beauty
Emerging7papers using it
2023first seen
The 'Beauty' dataset is a benchmark used to evaluate recommendation systems by providing data on user preferences and item attributes related to beauty products.
Papers using Beauty (7)
- Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based RecommendationIterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMsReasoning-guided Collaborative Filtering with Language Models for Explainable RecommendationHyMoERec: Hybrid Mixture-of-Experts for Sequential RecommendationEnd-to-end Learnable Clustering for Intent Learning in RecommendationAligning Large Language Models with Recommendation KnowledgeImproving Sequential Recommendation Models with an Enhanced Loss Function