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Adrián Valera, Álvaro Lozano Murciego and María N. Moreno-García
Nowadays, recommender systems are present in multiple application domains, such as e-commerce, digital libraries, music streaming services, etc. In the music domain, these systems are especially useful, since users often like to listen to new songs and d...
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Camila Vaccari Sundermann, Marcos Aurélio Domingues, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini and Solange Oliveira Rezende
Recommender systems help users by recommending items, such as products and services, that can be of interest to these users. Context-aware recommender systems have been widely investigated in both academia and industry because they can make recommendatio...
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Yong Zheng
Recommender systems can assist with decision-making by delivering a list of item recommendations tailored to user preferences. Context-aware recommender systems additionally consider context information and adapt the recommendations to different situatio...
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Hamid Mcheick and John Sayegh
The emergence of pervasive computing technology has revolutionized all aspects of life and facilitated many everyday tasks. As the world fights the coronavirus pandemic, it is necessary to find new ways to use technology to fight diseases and reduce thei...
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Luis E. Rodríguez-Pupo, Carlos Granell and Sven Casteleyn
In large-scale context-aware applications, a central design concern is capturing, managing and acting upon location and context data. The ability to understand the collected data and define meaningful contextual events, based on one or more incoming (con...
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Tor-Morten Gr,Jarle Hansen,Gheorghita Ghinea
Pág. pp. 13 - 22
In this paper we pursue the context-aware paradigm in a distributed mobile environment. Context-awareness plays a significant role in the domain of implicit human computer interaction and we present an intelligent context-aware meeting room application. ...
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Olurotimi Oguntola and Steven Simske
This study proposes a framework for a systems engineering-based approach to context-aware personalization, which is applied to e-commerce through the understanding and modeling of user behavior from their interactions with sales channels and media. The f...
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Camila Vaccari Sundermann, Marcos Aurélio Domingues, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini and Solange Oliveira Rezende
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Alejandro Rivero-Rodriguez,Paolo Pileggi,Ossi Antero Nykänen
Pág. pp. 25 - 32
Mobile applications often adapt their behavior according to user context, however, they are often limited to consider few sources of contextual information, such as user position or language. This article reviews existing work in context-aware systems (C...
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Alexander Smirnov,Tatiana Levashova
Pág. 24 - 41
The objective of the research is to offer a methodology providing a feasible functionality of context-aware systems for the users. The systems are considered consisting of a set of knowledge sources. These sources are involved in knowledge fusion process...
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Tamim Mahmud Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis and George Dimitrakopoulos
Recommender systems are a key technology for many applications, such as e-commerce, streaming media, and social media. Traditional recommender systems rely on collaborative filtering or content-based filtering to make recommendations. However, these appr...
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Ramon Martín de Pozuelo, Agustín Zaballos, Joan Navarro and Guiomar Corral
The smart grid can be seen as a hybrid system composed by many systems. From a large scale point of view, it combines the electric power system itself and a heterogeneous information and communication technology (ICT) infrastructure. Additionally, these ...
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Jerry Rick Ramstetter, Yaling Yang and Danfeng Yao
Pervasive wireless systems have significantly improved end-users? quality of life. As manufacturing costs decrease, communications bandwidth increases, and contextual information is made more readily available, the role of next generation wireless system...
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Teemu Henrikki Laine,Mike Joy
Pág. 70 - 76
Context-aware pervasive learning environments consist of interconnected, embedded computing devices such as portable computers, wireless sensors, auxiliary input/output devices and servers. Until this study there has been no survey that has evaluated and...
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Manolis Remountakis, Konstantinos Kotis, Babis Kourtzis and George E. Tsekouras
Recommender systems have become indispensable tools in the hotel hospitality industry, enabling personalized and tailored experiences for guests. Recent advancements in large language models (LLMs), such as ChatGPT, and persuasive technologies have opene...
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Abdulrahman Alreshidi, Aakash Ahmad, Ahmed B. Altamimi, Khalid Sultan and Rashid Mehmood
Mobile cloud computing (MCC) has recently emerged as a state-of-the-art technology for mobile systems. MCC enables portable and context-aware computation via mobile devices by exploiting virtually unlimited hardware and software resources offered by clou...
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Eva Hoos,Pascal Hirmer,Bernhard Mitschang
Pág. 72 - 89
In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated enginee...
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Antonios Pliatsios, Dimitrios Lymperis and Christos Goumopoulos
The Social Internet of Things (SIoT) paradigm combines the benefits of social networks with IoT networks to create more collaborative and efficient systems, offering enhanced scalability, better navigability, flexibility, and dynamic decision making. How...
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Cuong Ngyuen Pham,Serge Garlatti,Simon Lau,Benjamin Barbry,Thomas Vantroys
Pág. pp. 25 - 32
We are interested in learning and working scenarios integrating web service retrieval and orchestration in pervasive TEL systems in a learning situation at workplace. This paper proposes a context-aware model of corporate learning and working scenarios i...
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Hongwei Wei, Guanjun Lin, Lin Li and Heming Jia
Exploitable vulnerabilities in software systems are major security concerns. To date, machine learning (ML) based solutions have been proposed to automate and accelerate the detection of vulnerabilities. Most ML techniques aim to isolate a unit of source...
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