Deep Learning-Based Recommendation Algorithms
摘要
This chapter introduces the relationship between collaborative filtering and deep learning and then presented various deep learning-based collaborative filtering algorithms. Leveraging cutting-edge methods from deep learning, these algorithms can significantly improve the accuracy, scalability, diversity, and interpretability of recommendation systems, offering richer technological choices for recommendation system design. However, most of these algorithms are optimized for specific problems, and there are often limitations in practical applications. Therefore, at the system design level, algorithm integration or fusion needs to be considered.