Intelligent Short Video Recommendation System Based on Deep Learning

We designed an intelligent short video recommendation system using deep learning technologies. The system integrates content-based and collaborative filtering recommendation algorithms to enhance recommendation accuracy and personalization. A hybrid recommendation model was constructed including rating and comment data extraction modules., features fusion., and rating prediction. The system has a three-tier architecture for interaction between users and the recommendation engine. Key functions include user management., video playback., rating., commenting., and recommendation. The recommendation engine is powered by deep learning to suggest personalized videos based on user behavior and content features.