DLRREC: Enhancing Recommender Systems with Multi-Modal Knowledge Fusion

This research explores a novel approach to improve recommender systems by integrating multi-modal knowledge. The focus on denoising latent representations suggests a promising direction for enhancing recommendation accuracy and robustness.

• •Focuses on improving recommender systems.
• •Utilizes multi-modal knowledge fusion.
• •Aims to denoise latent representations for better recommendations.