Beauty
Emerging7papers using it
2024first 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 RecommendationImproving the Performance of Sequential Recommendation Systems with an Extended Large Language ModelEnd-to-end Learnable Clustering for Intent Learning in RecommendationAligning Large Language Models with Recommendation Knowledge