深度学习在推荐系统中的应用研究

Research on the Application of Deep Learning in Recommendation System

互联网的普及带来了信息爆炸,推荐系统是一种有效的信息过滤工具。现有的推荐系统已经应用于各大领域,但仍然面临着准确性和冷启动等方面的挑战。深度学习作为最先进的机器学习技术,逐步应用于各种复杂的推荐中,以提高推荐系统的质量。对现有推荐系统中几种主要的深度学习模型进行了分析,并对其发展前景进行了展望。

The popularity of the Internet has brought information explosion,and recommendation system is an effective information filtering tool.The existing recommendation system has been applied in various fields,but it still faces challenges in accuracy and cold start.As the most advanced machine learning technology,deep learning has been gradually applied to various complex recommendations to improve the quality of recommendation systems.Several main deep learning models in the existing recommendation system are analyzed and their development prospects are forecasted.