Integrating context information into the traditional recommendation systems can effectively solve the problems such as data highly sparse, cold boot, and difficult to model user preference. Deep learning technology has become a research hotspot in the field of artificial intelligence in recent years, it will bring new opportunities and challenges to research in the field of recommendation while deep learning is applied into context-aware recommender systems. In this paper, some application models about the integration of deep learning technology into context-aware recommendation systems are mentioned, and deficiency of context-aware recommender systems based on deep learning and prospect in the future are elaborated at the same time, by introducing the related concepts of context-aware recommender systems and collating relevant research literatures worldwide.