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Aileen C. Benedict and Zbigniew W. Ras
The paper concerns the problem of action-rule extraction when datasets are large. Such rules can be used to construct a knowledge base in a recommendation system. One of the popular approaches to construct action rules in such cases is to partition the d...
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Thi-Linh Ho, Anh-Cuong Le and Dinh-Hong Vu
Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users? reviews, a...
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Adnan Alhaj Hasan, Aleksey A. Kvasnikov, Dmitriy V. Klyukin, Anton A. Ivanov, Alexander V. Demakov, Dmitry M. Mochalov and Sergei P. Kuksenko
This paper focuses on antenna modeling using wire-grid and surface triangulation as two of the most commonly used MoM-based approaches in this field. A comprehensive overview is provided for each of them, including their history, applications, and limita...
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Jianfei Li, Yongbin Wang and Zhulin Tao
In recent years, graph neural networks (GNNS) have been demonstrated to be a powerful way to learn graph data. The existing recommender systems based on the implicit factor models mainly use the interactive information between users and items for trainin...
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Xiao Hu, Fanjie Li and Ruilun Liu
The subjectivity of listeners? emotional responses to music is at the crux of optimizing emotion-aware music recommendation. To address this challenge, we constructed a new multimodal dataset (?HKU956?) with aligned peripheral physiological signals (i.e....
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Kazimierz Tomala, Dominika Guzek, Dominika Glabska, Maria Malachowska, Lukasz Widlak, Tomasz Krupa and Krystyna Gutkowska
?Red Jonaprince? cultivar production is rapidly increasing; therefore, the interest in harvesting in various regions, as well as in improving and maintaining the quality of the apple, is also increasing. The aim of this study was to analyze the possibili...
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Charl Maree and Christian W. Omlin
Personalisation of products and services is fast becoming the driver of success in banking and commerce. Machine learning holds the promise of gaining a deeper understanding of and tailoring to customers? needs and preferences. Whereas traditional soluti...
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Ewa Piotrowicz, Michael Pencina, Grzegorz Opolski, Wojciech Zareba, Maciej Banach, Ilona Kowalik, Piotr Orzechowski, Renata Glówczynska, Dominika Szalewska, Slawomir Pluta, Zbigniew Kalarus, Robert Irzmanski and Ryszard Piotrowicz
(1) Background Adherence to treatment guidelines in heart failure (HF) patients is of major prognostic importance, but thorough implementation of guidelines in routine care remains insufficient. Introducing hybrid comprehensive telerehabilitation (HCTR) ...
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Pág. 35 - 59
In this study, we have used both Internet and mobile connections as the indicator of information and communication technology (ICT) penetration to test if greater financial inclusion plays a role in economic development. We also tested if the inter...
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Ali M. Ahmed Al Sabaawi,Hacer Karacan,Yusuf Erkan Yenice
Pág. pp. 70 - 87
Recently, Recommender Systems (RSs) have attracted many researchers whose goal is to improve the performance of the prediction accuracy of recommendation systems by alleviating RSs drawbacks. The most common limitations are sparsity and the cold-start pr...
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