State-of-the-Art Review of Deep Learning Techniques in Recommendation System

Ishwari Singh Rajput, Rakshita Mall, Anand Shankar Tiwari, Arvind Kumar Tiwari

2021

Abstract

On the basis of achievements of deep learning, its use in the field of recommendation system has gained a lot of attention. This paper provides a review on the various techniques of deep learning which are used in recommendation system. The ability of deep learning models to analyse the user-item relationship efficiently is the reason for using it instead of the traditional recommendation models. This paper consists of the introduction of basic terms and concepts in both recommendation system and deep learning. Then there is a description of the researches on deep neural network based recommendation system.

Paper Citation

in Harvard Style

Rajput I., Mall R., Tiwari A. and Tiwari A. (2021). State-of-the-Art Review of Deep Learning Techniques in Recommendation System. In Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE, ISBN 978-989-758-544-9, pages 182-189. DOI: 10.5220/0010564900003161

in Bibtex Style

@conference{icacse21,
author={Ishwari Singh Rajput and Rakshita Mall and Anand Shankar Tiwari and Arvind Kumar Tiwari},
title={State-of-the-Art Review of Deep Learning Techniques in Recommendation System},
booktitle={Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,},
year={2021},
pages={182-189},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010564900003161},
isbn={978-989-758-544-9},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Computing and Software Engineering - Volume 1: ICACSE,
TI - State-of-the-Art Review of Deep Learning Techniques in Recommendation System
SN - 978-989-758-544-9
AU - Rajput I.
AU - Mall R.
AU - Tiwari A.
AU - Tiwari A.
PY - 2021
SP - 182
EP - 189
DO - 10.5220/0010564900003161