Authors :
Prakash Kumar K; Vanitha V
Volume/Issue :
Volume 6 - 2021, Issue 12 - December
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3rsFxb3
DOI :
https://doi.org/10.5281/zenodo.5995460
Abstract :
With the proliferation of online information,
recommender systems have shown to be an effective
method of overcoming this information imbalance. The
utility of recommendation systems cannot be overstated,
as can their ability to ease several concerns associated
with excessive choice. Deep learning has had a significant
effect in recent years across a variety of research
disciplines, including computer vision and natural
language processing, contributing not only to astounding
results but also to the alluring trait of learning feature
representations from scratch. Deep learning's influence is
equally ubiquitous, with research demonstrating its
usefulness when utilised for recommender systems and
information retrieval. The topic of deep learning in
recommender systems appears to be growing. The
purpose of this study is to provide an in-depth evaluation
of recent research endeavours on deep-learning-based
recommender systems. Simply put, we explain and
categorise deep learning-based recommendation models,
as well as provide a consistent appraisal of the research.
Finally, we elaborate on current trends and give new
perspectives on the industry's game-changing rise.
Keywords :
deeplearning; recommendation system.
With the proliferation of online information,
recommender systems have shown to be an effective
method of overcoming this information imbalance. The
utility of recommendation systems cannot be overstated,
as can their ability to ease several concerns associated
with excessive choice. Deep learning has had a significant
effect in recent years across a variety of research
disciplines, including computer vision and natural
language processing, contributing not only to astounding
results but also to the alluring trait of learning feature
representations from scratch. Deep learning's influence is
equally ubiquitous, with research demonstrating its
usefulness when utilised for recommender systems and
information retrieval. The topic of deep learning in
recommender systems appears to be growing. The
purpose of this study is to provide an in-depth evaluation
of recent research endeavours on deep-learning-based
recommender systems. Simply put, we explain and
categorise deep learning-based recommendation models,
as well as provide a consistent appraisal of the research.
Finally, we elaborate on current trends and give new
perspectives on the industry's game-changing rise.
Keywords :
deeplearning; recommendation system.
