Author(s)

Feng Liu and Weiwei Guo

Corresponding Author

Feng Liu

Abstract

Deep learning is an important direction in the field of artificial intelligence. Integrating deep learning technology into recommendation system to improve the performance and recommendation accuracy of recommendation system has become a research hotspot. This paper first analyzes the recommendation ideas and recommendations of traditional recommendation algorithms. The advantages of the algorithm are then combined with the deep learning framework to establish a personalized recommendation algorithm model. Finally, the simulation experiment proves that the personalized algorithm proposed in this paper can effectively improve the performance and recommendation accuracy of the recommendation system.

Keywords

Recommendation System, Deep learning, Collaborative Filtering