Research on Personalized Hybrid Recommendation Algorithm Based on Deep Learning
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Weiwei Guo and Feng Liu
In order to effectively improve the recommendation accuracy and recommendation quality of the recommendation system, the article firstly compares the traditional recommendation algorithm, and then combines the advantages of various recommendation algorithms to integrate the deep learning model into the recommendation system, and proposes a personalized hybrid based on deep learning. The recommendation algorithm, after deep learning mechanism, repeatedly adjusts the weight coefficient of the hybrid recommendation algorithm, and constructs an effective recommendation model. Finally, through simulation experiments, it is verified that the proposed hybrid recommendation algorithm has higher recommendation accuracy and thus effectively improves the quality of the recommended system.
Deep, Learning, Recommendation, Algorithm, Collaborative, Filtering