A Survey of Deep Learning Approaches for Recommendation Systems
Jun Yi Liu · Journal of Physics Conference Series · 2018
Due to the explosive information, recommendation system has been an important part of people's life. It can suggest or predict information based on the user's preference to help user save time. As deep learning develops, the application of deep neural network in related research is increasingly prevalent. This paper provides a survey of recommendation systems, which focuses on deep learning approaches and the system of applications. The detailed description of each recommendation system is explained, and the related datasets are briefly introduced. In this paper, all references are published ranging from 2014 to 2017, which presents an overview of the current progress in this area.