RecIoT: A Deep Insight into IoT-Based Smart Recommender Systems

Sharma, Richa; Rani, Shalli; Nuagah, Stephen Jeswinde

doi:10.1155/2022/9218907

Cited by 7 publications

(3 citation statements)

References 85 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, people have been able to communicate and facilitate task automation, remote monitoring, control of devices, and decision making based on real-time data. The term IoT has been used since 2010, but the idea of connecting objects to the internet has been around for more than 20 years, and it began to gain relevance and be used more frequently in technological and business environments [20,60]. Since then, the IoT has experienced rapid growth and has become one of the main trends in the digital world, and, as can be seen in Figure 5a, it has become a motor theme.…”

Section: Analysis Of the Structure And Evolution Of Recommender Syste...mentioning

confidence: 99%

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Andrade-Ruiz,

Carrasco,

Porcel

et al. 2024

Electronics

View full text Add to dashboard Cite

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.

show abstract

Section: Analysis Of the Structure And Evolution Of Recommender Syste...mentioning

confidence: 99%

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Andrade-Ruiz,

Carrasco,

Porcel

et al. 2024

Electronics

View full text Add to dashboard Cite

show abstract

“…The article by Sharma et al [77] offered a comprehensive examination of recommender systems based on Internet of Things approaches, focusing on the current issues and challenges, as well as on possible future strategies and areas that require improvements. The significance of the study was further increased through the inclusion of a bibliometric analysis of this emerging field.…”

Section: Review Papersmentioning

confidence: 99%

Guiding Urban Decision-Making: A Study on Recommender Systems in Smart Cities

Sandu,

Cotfas,

Stănescu

et al. 2024

Electronics

View full text Add to dashboard Cite

In recent years, the research community has increasingly embraced topics related to smart cities, recognizing their potential to enhance residents’ quality of life and create sustainable, efficient urban environments through the integration of diverse systems and services. Concurrently, recommender systems have demonstrated continued improvement in accuracy, delivering more precise recommendations for items or content and aiding users in decision-making processes. This paper explores the utilization of recommender systems in the context of smart cities by analyzing a dataset comprised of papers indexed in the ISI Web of Science database. Through bibliometric analysis, key themes, trends, prominent authors and institutions, preferred journals, and collaboration networks among authors were extracted. The findings revealed an average annual scientific production growth of 25.85%. Additionally, an n-gram analysis across keywords, abstracts, titles, and keywords plus, along with a review of selected papers, enriched the analysis. The insights gained from these efforts offer valuable perspectives, contribute to identifying pertinent issues, and provide guidance on trends in this evolving field. The importance of recommender systems in the context of smart cities lies in their ability to enhance urban living by providing personalized and efficient recommendations, optimizing resource utilization, improving decision-making processes, and ultimately contributing to a more sustainable and intelligent urban environment.

show abstract

“…The implementation of an efficient parking management system aims to address various challenges and improve the overall parking experience for car owners [14], [22]. One primary objective is to enhance car owners' ability to obtain parking space information promptly, aligning with the current trend of utilizing the Internet to access information conveniently.…”

Section: Functional Requirementsmentioning

confidence: 99%

Development of an IoT-Based Parking Space Management System Design

Wang

2023

Int. J. Appl. Inf. Manag.

View full text Add to dashboard Cite

With the improvement of people's quality of life and the rapid development of the automobile consumer market, the problem of urban parking difficulties has become increasingly prominent. In addition to the insufficiency of the number of supporting parking spaces, the backwardness of the traditional parking lot operation model has led to insufficient openness and transparency of various information, which limits the ability of drivers to obtain parking space information, and limited parking spaces cannot be adequately obtained. Utilization is also one of the reasons for the increasing difficulty of urban parking. This article aims to study the design of parking space management system based on Internet of Things technology, choose TechIO technology to realize wireless communication between parking spaces in the parking lot, analyze the advantages of TechIO technology and the needs of parking space management system, and build a simulation based on the system design the test environment has made relevant tests on the various items of the system. The test results show that the use of TechIO technology makes the system have the characteristics of strong adaptability, low cost, and low power consumption, which not only eliminates the complicated wiring costs in the parking lot, but also brings great convenience to the deployment of parking lot nodes.

show abstract

RecIoT: A Deep Insight into IoT-Based Smart Recommender Systems

Cited by 7 publications

References 85 publications

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Guiding Urban Decision-Making: A Study on Recommender Systems in Smart Cities

Development of an IoT-Based Parking Space Management System Design

Contact Info

Product

Resources

About