Latest Articles for Recommender Systems

Examining how language affects the effectiveness of LLM-based recommendations.

A look at how TTDS improves personalized recommendations using large language models.

Learn how causal models can enhance recommendations by focusing on key factors.

Exploring synthetic data's role in promoting fairness in recommendation algorithms.

EMERS helps researchers track energy use in recommender systems, promoting environmental awareness.

Using simulations to enhance onboarding processes for new users.

New methods enhance recommendations for users, especially for new items.

A new method enhances data analysis while preserving privacy.

Learn how synthetic datasets improve recommender systems and evaluate algorithms effectively.

Discover how technology personalizes your media and shopping experience.