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Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works

by Ayush Singhal, Pradeep Sinha, Rakesh Pant
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 7
Year of Publication: 2017
Authors: Ayush Singhal, Pradeep Sinha, Rakesh Pant
10.5120/ijca2017916055

Ayush Singhal, Pradeep Sinha, Rakesh Pant . Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works. International Journal of Computer Applications. 180, 7 ( Dec 2017), 17-22. DOI=10.5120/ijca2017916055

@article{ 10.5120/ijca2017916055,
author = { Ayush Singhal, Pradeep Sinha, Rakesh Pant },
title = { Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2017 },
volume = { 180 },
number = { 7 },
month = { Dec },
year = { 2017 },
issn = { 0975-8887 },
pages = { 17-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number7/28811-2017916055/ },
doi = { 10.5120/ijca2017916055 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:59:59.598002+05:30
%A Ayush Singhal
%A Pradeep Sinha
%A Rakesh Pant
%T Use of Deep Learning in Modern Recommendation System: A Summary of Recent Works
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 7
%P 17-22
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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.

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Index Terms

Computer Science
Information Sciences

Keywords

Deep Learning Recommender system Literature review Machine Learning Collaborative filtering Hybrid system.

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