Data Mining Techniques Applied to Recommender Systems for Outdoor Activities: A Systematic Literature Review

Pablo Arévalo, John Calle, Marcos Orellana, Priscila Cedillo

2022

Abstract

Currently, many pollutants are released into the air, representing a risk to the environment and human health. There are significant volumes of data generated by the devices that monitor these pollutants. This information can represent a relevant input that allows the construction of applications, techniques, and methodologies to reach a prediction of the state of the air. On the other hand, recommender systems are present in numerous data processing methods, supporting the decision-making and promoting the improvement of the quality of service of solutions. Although several studies have been presented, no secondary studies have been proposed. Therefore, this paper presents a systematic review of the literature, which aims to identify the knowledge areas, tools, methods, and data mining approaches used in recommender systems for outdoor activities related to atmospheric pollutants. The results obtained contribute to creating new ways of recommendation systems based on the previous topics.

Paper Citation

in Harvard Style

Arévalo P., Calle J., Orellana M. and Cedillo P. (2022). Data Mining Techniques Applied to Recommender Systems for Outdoor Activities: A Systematic Literature Review. In Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE, ISBN 978-989-758-566-1, pages 228-235. DOI: 10.5220/0011045400003188

in Bibtex Style

@conference{ict4awe22,
author={Pablo Arévalo and John Calle and Marcos Orellana and Priscila Cedillo},
title={Data Mining Techniques Applied to Recommender Systems for Outdoor Activities: A Systematic Literature Review},
booktitle={Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,},
year={2022},
pages={228-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011045400003188},
isbn={978-989-758-566-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - Volume 1: ICT4AWE,
TI - Data Mining Techniques Applied to Recommender Systems for Outdoor Activities: A Systematic Literature Review
SN - 978-989-758-566-1
AU - Arévalo P.
AU - Calle J.
AU - Orellana M.
AU - Cedillo P.
PY - 2022
SP - 228
EP - 235
DO - 10.5220/0011045400003188