Enhanced Buying Experiences in Smart Cities: The SMARTBUY Approach

Bourg, Lorena; Chatzidimitris, Thomas; Chatzigiannakis, Ioannis; Gavalas, Damianos; Giannakopoulou, Kalliopi; Kasapakis, Vlasios; Konstantopoulos, Charalampos; Kypriadis, Damianos; Pantziou, Grammati; Zaroliagis, Christos

doi:10.1007/978-3-030-34255-5_8

Cited by 6 publications

(7 citation statements)

References 20 publications

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“…Due to the uneven digital trade exchanges between countries, one after another has actively turned to signing bilateral and multilateral trade agreements in order to be able to more comprehensively solve these digital trade issues. Literature [13][14][15]. The United States has always been a major country in global digital trade.…”

Section: Related Workmentioning

confidence: 99%

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

Liu

2022

Wireless Communications and Mobile Computing

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With the continuous update of technologies such as cloud computing, big data, AI, and 5G, various IoT services have also been developed. Various IoT terminals have emerged one after another, and the number of access terminals has also risen sharply. With the development and popularization of a new generation of artificial intelligence technology, the Internet of Things mainly connects various objects to each other in an agreed manner through various sensing devices and conducts wireless communication and data exchange to achieve object-to-object communication, positioning, traceability, intelligent identification, and management. The Internet of Things has broad application prospects in many aspects such as intelligent robots, transportation, and intelligent buildings. Accurate node positioning is considered to be the focus of the application of the Internet of Things in geographic and network location services. More and more experts and scholars have begun to worry about the future development of artificial intelligence technology. While artificial intelligence technology provides convenience to the society, it may also cause huge hidden dangers to the public safety of the entire society. Therefore, it is necessary to make decisions about the technical risks of artificial intelligence. Philosophical analysis has certain historical, practical significance, and theoretical value. Internet technology innovation and digital technology innovation continue to emerge. Digital trade has become a typical feature of the current economic structural transformation, and it is also a new driving force for countries to participate in the division of labor in the global value chain. At present, the scale of global digital trade continues to expand, but there are still many restrictions on digital trade rules. Digital trade tariff barriers and nontariff barriers in digital trade such as crossborder data flow restrictions, intellectual property infringements, and personal information protection are bound to have an impact on the global value chain division of labor system. IoT technology-oriented artificial intelligence accelerates the logistics speed and tracking efficiency of digital cross-border trade, improves consumers’ willingness to spend, and promotes the development of the entire e-commerce trade field.

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Section: Related Workmentioning

confidence: 99%

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

Liu

2022

Wireless Communications and Mobile Computing

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“…On the other hand, recommender systems often learn from people's preferences and behaviours. This means that users may receive recommendations based solely on their previous preferences, limiting their exposure to new ideas, opportunities, and experiences [29].…”

Section: Recommender Systemsmentioning

confidence: 99%

“…It uses characteristics and attributes of the items (such as tags, categories, genre, director, etc.) to look for similarities between the items [29]. For example, if a user previously liked romantic comedy films, the system will use that information to recommend similar movies in the future.…”

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confidence: 99%

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Andrade-Ruiz,

Carrasco,

Porcel

et al. 2024

Electronics

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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.

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“…2) Collaborative Recommendation System: This type of RS aggregate ratings and recommendations of objects, analyze common interests between the users based on their ratings and propose new recommendations by inter-user comparisons [7]. The major objective of such product recommendation is to establish user groups based on similar preferences [8].…”

Section: B Types Of Recommendation Systems and Algorithmsmentioning

confidence: 99%

“…Tourism interests of people are quite dynamic and might change with conditions (such as budget, mood, weather etc.) or depend upon contextual factors (such as current location, time, season, consumer behavior) [14]. It is a significant concern to provide accurate personalized recommendations to travelers.…”

Section: Influential Factors and User Profiling For Personalized Tour...mentioning

confidence: 99%

Influential Factors for Tourist Profiling for Personalized Tourism Recommendation Systems– A Compact Survey

Kamal

Chatzigiannakis

2021

2021 International Conference on Innovative Computing (ICIC)

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Over the past few years, recommendation systems have gained immense popularity and are being applied to many domains. This paper discusses the application of recommendation systems for the domain of tourism. In this paper, we aim to present an up-to-date, thorough and compact survey on Tourism Recommendation Systems and the most influential factors which significantly impacts the decisionmaking of tourists while planning a tour. We have discussed complete architecture and modules of recommendation systems, various types of recommendation approaches and algorithms, the functionalities offered by these systems, the factors used for recommendation and knowledge base, tourist profiling and type of data used in tourism recommendation systems. The paper also mentions the scope of improvement and promising areas of research in this field.

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Enhanced Buying Experiences in Smart Cities: The SMARTBUY Approach

Cited by 6 publications

References 20 publications

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

The Application of Artificial Intelligence Oriented to the Internet of Things Technology in the Complexity of Digital Crossborder Trade

Emerging Perspectives on the Application of Recommender Systems in Smart Cities

Influential Factors for Tourist Profiling for Personalized Tourism Recommendation Systems– A Compact Survey

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