  With the exponential increase in the amount of digital information over the
internet, online shops, online music, video and image libraries, search engines
and recommendation system have become the most convenient ways to find relevant
information within a short time. In the recent times, deep learning's advances
have gained significant attention in the field of speech recognition, image
processing and natural language processing. Meanwhile, several recent studies
have shown the utility of deep learning in the area of recommendation systems
and information retrieval as well. In this short review, we cover the recent
advances made in the field of recommendation using various variants of deep
learning technology. We organize the review in three parts: Collaborative
system, Content based system and Hybrid system. The review also discusses the
contribution of deep learning integrated recommendation systems into several
application domains. The review concludes by discussion of the impact of deep
learning in recommendation system in various domain and whether deep learning
has shown any significant improvement over the conventional systems for
recommendation. Finally, we also provide future directions of research which
are possible based on the current state of use of deep learning in
recommendation systems.
