期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2019
卷号：10
期号：4
页码：24-27
出版社：TechScience Publications
摘要：In today's world, automated recommendation is a big field that large companies like Netflix, Spotify and even multiple e-commerce websites use. It is a tiresome and languid task to make sense of the vast and diverse information provided to make a choice. An ideal solution would be to use a recommender system to help ease the users’ decision-making ability. Many techniques to perform recommendation such as content-based and collaborative recommender systems are present but due to limitations with respect to these traditional methods, a deep learning model provides better results. Deep learning help the system to gain a better perspective of the users and items and thus improves the accuracy of the recommendation. In this article, we give a brief summary of the traditional techniques and then survey a few deep learning recommendation systems.
