A Systematic Literature Review on Hybrid Deep Learning Smart Recommendation Systems

Kadek Cahya Dewi, Putu Ciptayani, Putu Prayustika

2021

Abstract

The purpose of the research was to conduct a Systematic Literature Review (SLR) to understand about the hybrid deep learning model on smart recommendation system. SLR was held based on guidelines from Kitchenham & Charters. There were four research question about datasets, methods, programming language and also evaluation parameters that was used in hybrid deep learning smart recommendation system. The research started with 4931 articles from digital libraries namely ACM Digital Library, IEEE Explore, ScienceDirect and also SpringerLink. After third layer filtering, there found 50 articles became the data of the SLR. It can be concluded that the analysis result namely: (1) textual dataset was the most used dataset, (2) the combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) was the most widely used as hybrid deep learning method, (3) python is widely used in experiments, and (4) accuracy, precision, recall, and F1-Score were the most often used as evaluation parameters in smart recommendation systems.

Paper Citation

in Harvard Style

Cahya Dewi K., Ciptayani P. and Prayustika P. (2021). A Systematic Literature Review on Hybrid Deep Learning Smart Recommendation Systems. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 181-188. DOI: 10.5220/0010942000003260

in Bibtex Style

@conference{icast-es21,
author={Kadek Cahya Dewi and Putu Ciptayani and Putu Prayustika},
title={A Systematic Literature Review on Hybrid Deep Learning Smart Recommendation Systems},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={181-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010942000003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - A Systematic Literature Review on Hybrid Deep Learning Smart Recommendation Systems
SN - 978-989-758-615-6
AU - Cahya Dewi K.
AU - Ciptayani P.
AU - Prayustika P.
PY - 2021
SP - 181
EP - 188
DO - 10.5220/0010942000003260