Smart City Gnosys

Smart city article details

Title	Emerging Perspectives On The Application Of Recommender Systems In Smart Cities
ID_Doc	22770
Authors	Andrade-Ruiz G.; Carrasco R.-A.; Porcel C.; Serrano-Guerrero J.; Mata F.; Arias-Oliva M.
Year	2024
Published	Electronics (Switzerland), 13, 7
DOI	http://dx.doi.org/10.3390/electronics13071249
Abstract	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. © 2024 by the authors.
Author Keywords	bibliometric analysis; recommendation systems; smart cities; techniques of filtering

Similar Articles

Id	Similarity	Authors	Title	Published
28639	0.951	Sandu A.; Cotfas L.-A.; Stănescu A.; Delcea C.	Guiding Urban Decision-Making: A Study On Recommender Systems In Smart Cities	Electronics (Switzerland), 13, 11 (2024)
46532	0.948	Abakarim S.; Qassimi S.; Rakrak S.	Review On Recent Trends In Recommender Systems For Smart Cities	Lecture Notes on Data Engineering and Communications Technologies, 164 (2023)
44643	0.943	Quijano-Sánchez L.; Cantador I.; Cortés-Cediel M.E.; Gil O.	Recommender Systems For Smart Cities	Information Systems, 92 (2020)
8934	0.925	Madani R.; Ez-Zahout A.; Idrissi A.	An Overview Of Recommender Systems In The Context Of Smart Cities	Proceedings of 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications, CloudTech 2020 (2020)
44639	0.893	Lin R.	Recommender System For Government Service In Smart Cities	Proceedings - 2022 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2022 (2022)
50464	0.876	Rejeb A.; Rejeb K.; Abdollahi A.; Keogh J.G.; Zailani S.; Iranmanesh M.	Smart City Research: A Bibliometric And Main Path Analysis	Journal of Data, Information and Management, 4, 3-4 (2022)
19482	0.874	Rafique W.; Hafid A.S.; Qadir J.	Developing Smart City Services Using Intent-Aware Recommendation Systems: A Survey	Transactions on Emerging Telecommunications Technologies, 34, 4 (2023)
49798	0.87	Gracias, JS; Parnell, GS; Specking, E; Pohl, EA; Buchanan, R	Smart Cities-A Structured Literature Review	SMART CITIES, 6, 4 (2023)
44565	0.87	Hajek P.; Youssef A.; Hajkova V.	Recent Developments In Smart City Assessment: A Bibliometric And Content Analysis-Based Literature Review	Cities, 126 (2022)
2659	0.867	Khan A.; Ahmad A.; Rahman A.U.; Alkhalil A.	A Mobile Cloud Framework For Context-Aware And Portable Recommender System For Smart Markets	EAI/Springer Innovations in Communication and Computing (2020)