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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

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.

Original language	English
Title of host publication	Information and Communication Technologies - 10th Ecuadorian Conference, TICEC 2022, Proceedings
Editors	Jorge Herrera-Tapia, Germania Rodriguez-Morales, Efraín R. Fonseca C., Santiago Berrezueta-Guzman
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	171-185
Number of pages	15
ISBN (Print)	9783031182716
DOIs	https://doi.org/10.1007/978-3-031-18272-3_12
State	Published - 2022
Event	10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022 - Virtual, Online Duration: 12 Oct 2022 → 14 Oct 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1648 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	10th Ecuadorian Congress of Information and Communication Technologies, TICEC 2022
City	Virtual, Online
Period	12/10/22 → 14/10/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Air pollutants
Air quality
Data mining
Meteorological variables
Recommender systems

Access to Document

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

Cite this

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. In 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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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.",

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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. in 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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

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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

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

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A2 - Fonseca C., Efraín R.

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PB - Springer Science and Business Media Deutschland GmbH

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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. In Herrera-Tapia J, Rodriguez-Morales G, Fonseca C. ER, Berrezueta-Guzman S, editors, 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