A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables

Pablo Arévalo; Marcos Orellana; Priscila Cedillo; Juan Fernando Lima; Jorge Luis Zambrano-Martinez

doi:10.1007/978-3-031-18272-3_12

A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables

Pablo Arévalo, Marcos Orellana, Priscila Cedillo, Juan Fernando Lima, Jorge Luis Zambrano-Martinez

Universidad del Azuay

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

1 Cita (Scopus)

Resumen

Nowadays, the world faces a high level of environmental pollution. This phenomenon has become a constant challenge for our society due to its negative impact on health and the increased risk of disease. Considering this problem, applications, techniques and methodologies are generated that seek to relate atmospheric pollutants to each other to predict the state of the air. On the other hand, recommendation systems are present in numerous decision-making methods to find trends in various fields. Consequently, this work presents a methodology for a recommender system that provides people with the best hours to perform outdoor activities according to the pollutants found in the environment. The results obtained were verified through an evaluation and thus be able to contribute to the creation of new recommenders based on the previous topics.

Idioma original	Inglés
Título de la publicación alojada	Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings
Editores	Jorge Herrera-Tapia, Germania Rodriguez-Morales, Efraín R. Fonseca C., Santiago Berrezueta-Guzman
Editorial	Springer Science and Business Media Deutschland GmbH
Páginas	171-185
Número de páginas	15
ISBN (versión impresa)	9783031182716
DOI	https://doi.org/10.1007/978-3-031-18272-3_12
Estado	Publicada - 2022
Evento	10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022 - Virtual, Online Duración: 12 oct. 2022 → 14 oct. 2022

Serie de la publicación

Nombre	Communications in Computer and Information Science
Volumen	1648 CCIS
ISSN (versión impresa)	1865-0929
ISSN (versión digital)	1865-0937

Conferencia

Conferencia	10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022
Ciudad	Virtual, Online
Período	12/10/22 → 14/10/22

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

Acceder al documento

10.1007/978-3-031-18272-3_12

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Arévalo, P., Orellana, M., Cedillo, P., Lima, J. F., & Zambrano-Martinez, J. L. (2022). A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables. En J. Herrera-Tapia, G. Rodriguez-Morales, E. R. Fonseca C., & S. Berrezueta-Guzman (Eds.), Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings (pp. 171-185). (Communications in Computer and Information Science; Vol. 1648 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-18272-3_12

Arévalo, Pablo ; Orellana, Marcos ; Cedillo, Priscila et al. / A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables. Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings. editor / Jorge Herrera-Tapia ; Germania Rodriguez-Morales ; Efraín R. Fonseca C. ; Santiago Berrezueta-Guzman. Springer Science and Business Media Deutschland GmbH, 2022. pp. 171-185 (Communications in Computer and Information Science).

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title = "A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables",

abstract = "Nowadays, the world faces a high level of environmental pollution. This phenomenon has become a constant challenge for our society due to its negative impact on health and the increased risk of disease. Considering this problem, applications, techniques and methodologies are generated that seek to relate atmospheric pollutants to each other to predict the state of the air. On the other hand, recommendation systems are present in numerous decision-making methods to find trends in various fields. Consequently, this work presents a methodology for a recommender system that provides people with the best hours to perform outdoor activities according to the pollutants found in the environment. The results obtained were verified through an evaluation and thus be able to contribute to the creation of new recommenders based on the previous topics.",

keywords = "Air pollutants, Air quality, Data mining, Meteorological variables, Recommender systems",

author = "Pablo Ar{\'e}valo and Marcos Orellana and Priscila Cedillo and Lima, \{Juan Fernando\} and Zambrano-Martinez, \{Jorge Luis\}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022 ; Conference date: 12-10-2022 Through 14-10-2022",

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Arévalo, P, Orellana, M, Cedillo, P, Lima, JF & Zambrano-Martinez, JL 2022, A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables. En J Herrera-Tapia, G Rodriguez-Morales, ER Fonseca C. & S Berrezueta-Guzman (eds.), Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings. Communications in Computer and Information Science, vol. 1648 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 171-185, 10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022, Virtual, Online, 12/10/22. https://doi.org/10.1007/978-3-031-18272-3_12

A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables. / Arévalo, Pablo; Orellana, Marcos; Cedillo, Priscila et al.
Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings. ed. / Jorge Herrera-Tapia; Germania Rodriguez-Morales; Efraín R. Fonseca C.; Santiago Berrezueta-Guzman. Springer Science and Business Media Deutschland GmbH, 2022. p. 171-185 (Communications in Computer and Information Science; Vol. 1648 CCIS).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables

AU - Arévalo, Pablo

AU - Orellana, Marcos

AU - Cedillo, Priscila

AU - Lima, Juan Fernando

AU - Zambrano-Martinez, Jorge Luis

PY - 2022

Y1 - 2022

N2 - Nowadays, the world faces a high level of environmental pollution. This phenomenon has become a constant challenge for our society due to its negative impact on health and the increased risk of disease. Considering this problem, applications, techniques and methodologies are generated that seek to relate atmospheric pollutants to each other to predict the state of the air. On the other hand, recommendation systems are present in numerous decision-making methods to find trends in various fields. Consequently, this work presents a methodology for a recommender system that provides people with the best hours to perform outdoor activities according to the pollutants found in the environment. The results obtained were verified through an evaluation and thus be able to contribute to the creation of new recommenders based on the previous topics.

AB - Nowadays, the world faces a high level of environmental pollution. This phenomenon has become a constant challenge for our society due to its negative impact on health and the increased risk of disease. Considering this problem, applications, techniques and methodologies are generated that seek to relate atmospheric pollutants to each other to predict the state of the air. On the other hand, recommendation systems are present in numerous decision-making methods to find trends in various fields. Consequently, this work presents a methodology for a recommender system that provides people with the best hours to perform outdoor activities according to the pollutants found in the environment. The results obtained were verified through an evaluation and thus be able to contribute to the creation of new recommenders based on the previous topics.

KW - Air pollutants

KW - Air quality

KW - Data mining

KW - Meteorological variables

KW - Recommender systems

UR - https://produccioncientificaluz.org/index.php/utopia/article/view/36129/38641

U2 - 10.1007/978-3-031-18272-3_12

DO - 10.1007/978-3-031-18272-3_12

M3 - Contribución a la conferencia

AN - SCOPUS:85140735029

SN - 9783031182716

T3 - Communications in Computer and Information Science

SP - 171

EP - 185

BT - Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings

A2 - Herrera-Tapia, Jorge

A2 - Rodriguez-Morales, Germania

A2 - Fonseca C., Efraín R.

A2 - Berrezueta-Guzman, Santiago

PB - Springer Science and Business Media Deutschland GmbH

T2 - 10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022

Y2 - 12 October 2022 through 14 October 2022

ER -

Arévalo P, Orellana M, Cedillo P, Lima JF, Zambrano-Martinez JL. A Methodology to Develop an Outdoor Activities Recommender Based on Air Pollution Variables. En Herrera-Tapia J, Rodriguez-Morales G, Fonseca C. ER, Berrezueta-Guzman S, editores, Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 171-185. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-18272-3_12