MIND

The MIND dataset is a benchmark that contains user interaction data for news articles and is used to evaluate the performance of recommender systems, particularly in the context of collaborative filtering.

Papers using MIND (4)

AMEM4Rec: Leveraging Cross-User Similarity for Memory Evolution in Agentic LLM Recommenders2026Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs2025Tackling Distribution Shift in LLM via KILO: Knowledge-Instructed Learning for Continual Adaptation2025Enhancing News Recommendation with Hierarchical LLM Prompting2025