COMPARATIVE ANALYSIS OF COLLABORATIVE, CONTENT-BASED AND HYBRID DEEP LEARNING RECOMMENDATION MODELS
Abstract. Recommender systems play a crucial role in personalized content delivery by leveraging user preferences and content attributes. This study evaluates three advanced recommendation models: Neural Collaborative Filtering (NCF), Graph Neural Network-based Content Model (GNN-based Content Model), and Hybrid Neural Network (HNN). Each model integrates deep learning techniques to enhance prediction accuracy and user experience. […]
