Emerging Perspectives on the Application of Recommender Systems in Smart Cities
Smart cities represent the convergence of information and communication technologies (ICT) with urban management to improve the quality of life of city dwellers. In this context, recommender systems, tools that offer personalised suggestions to city dwellers, have emerged as key contributors to this...
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Language: | English |
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MDPI AG
2024-03-01
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Series: | Electronics |
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Online Access: | https://www.mdpi.com/2079-9292/13/7/1249 |
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author | Gricela Andrade-Ruiz Ramón-Alberto Carrasco Carlos Porcel Jesús Serrano-Guerrero Francisco Mata Mario Arias-Oliva |
author_facet | Gricela Andrade-Ruiz Ramón-Alberto Carrasco Carlos Porcel Jesús Serrano-Guerrero Francisco Mata Mario Arias-Oliva |
author_sort | Gricela Andrade-Ruiz |
collection | DOAJ |
description | Smart cities represent the convergence of information and communication technologies (ICT) with urban management to improve the quality of life of city dwellers. In this context, recommender systems, tools that offer personalised suggestions to city dwellers, have emerged as key contributors to this convergence. Their successful application in various areas of city life and their ability to process massive amounts of data generated in urban environments has expedited their status as a crucial technology in the evolution of city planning. Our methodology included reviewing the Web of Science database, resulting in 130 articles that, filtered for relevancy, were reduced to 86. The first stage consisted of carrying out a bibliometric analysis with the objective of analysing structural aspects with the SciMAT tool. Secondly, a systematic literature review was undertaken using the PRISMA 2020 statement. The results illustrated the different processes by which recommendations are filtered in areas such as tourism, health, mobility, and transport. This research is seen as a significant breakthrough that can drive the evolution and efficiency of smart cities, establishing a solid framework for future research in this dynamic field. |
first_indexed | 2024-04-24T10:46:18Z |
format | Article |
id | doaj.art-2354e8412d944e6d8a53d028b803689f |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-04-24T10:46:18Z |
publishDate | 2024-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-2354e8412d944e6d8a53d028b803689f2024-04-12T13:17:11ZengMDPI AGElectronics2079-92922024-03-01137124910.3390/electronics13071249Emerging Perspectives on the Application of Recommender Systems in Smart CitiesGricela Andrade-Ruiz0Ramón-Alberto Carrasco1Carlos Porcel2Jesús Serrano-Guerrero3Francisco Mata4Mario Arias-Oliva5Faculty of Economics and Business, Complutense University of Madrid, 28223 Madrid, SpainDepartment of Marketing, Faculty of Statistics, Complutense University of Madrid, 28040 Madrid, SpainDepartment of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, SpainDepartment of Information Technologies and Systems, University of Castilla-La Mancha, 13071 Ciudad Real, SpainInformation Technology Department, University of Jaén, 23071 Jaén, SpainDepartment of Marketing, Faculty of Economics and Business, Complutense University of Madrid, 28223 Madrid, SpainSmart cities represent the convergence of information and communication technologies (ICT) with urban management to improve the quality of life of city dwellers. In this context, recommender systems, tools that offer personalised suggestions to city dwellers, have emerged as key contributors to this convergence. Their successful application in various areas of city life and their ability to process massive amounts of data generated in urban environments has expedited their status as a crucial technology in the evolution of city planning. Our methodology included reviewing the Web of Science database, resulting in 130 articles that, filtered for relevancy, were reduced to 86. The first stage consisted of carrying out a bibliometric analysis with the objective of analysing structural aspects with the SciMAT tool. Secondly, a systematic literature review was undertaken using the PRISMA 2020 statement. The results illustrated the different processes by which recommendations are filtered in areas such as tourism, health, mobility, and transport. This research is seen as a significant breakthrough that can drive the evolution and efficiency of smart cities, establishing a solid framework for future research in this dynamic field.https://www.mdpi.com/2079-9292/13/7/1249recommendation systemssmart citiestechniques of filteringbibliometric analysis |
spellingShingle | Gricela Andrade-Ruiz Ramón-Alberto Carrasco Carlos Porcel Jesús Serrano-Guerrero Francisco Mata Mario Arias-Oliva Emerging Perspectives on the Application of Recommender Systems in Smart Cities Electronics recommendation systems smart cities techniques of filtering bibliometric analysis |
title | Emerging Perspectives on the Application of Recommender Systems in Smart Cities |
title_full | Emerging Perspectives on the Application of Recommender Systems in Smart Cities |
title_fullStr | Emerging Perspectives on the Application of Recommender Systems in Smart Cities |
title_full_unstemmed | Emerging Perspectives on the Application of Recommender Systems in Smart Cities |
title_short | Emerging Perspectives on the Application of Recommender Systems in Smart Cities |
title_sort | emerging perspectives on the application of recommender systems in smart cities |
topic | recommendation systems smart cities techniques of filtering bibliometric analysis |
url | https://www.mdpi.com/2079-9292/13/7/1249 |
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