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Marzita Mansor,Wan Adilah Wan Adnan,Natrah Abdullah
Pág. pp. 103 - 116
Personalization is a good supplement for learning process. It has been claimed that personalization has a huge potential of providing solution to facilitate the learning path based on children ability and preferences. Diverse research on personalized lea...
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Dariusz Mikolajewski, Izabela Rojek, Piotr Kotlarz, Janusz Dorozynski and Jakub Kopowski
The application of this work relates to the use of 3D printing and artificial intelligence as systems to support the personalisation of medical devices, in particular powered upper limb exoskeletons and passive orthoses.
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Christos Troussas, Akrivi Krouska, Antonios Koliarakis and Cleo Sgouropoulou
Recommender systems are widely used in various fields, such as e-commerce, entertainment, and education, to provide personalized recommendations to users based on their preferences and/or behavior. ?his paper presents a novel approach to providing custom...
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William Villegas-Ch and Joselin García-Ortiz
In the digital age, the personalization of learning has become a critical priority in education. This article delves into the cutting-edge of educational innovation by exploring the essential role of ontology-based knowledge representation in transformin...
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Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi, Abd Kadir Mahamad and Sharifah Saon
Online services, ambient services, and recommendation systems take user preferences into data processing so that the services can be tailored to the customer?s preferences. Associative rules have been used to capture combinations of frequently preferred ...
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Dionisis Margaris, Costas Vassilakis, Dimitris Spiliotopoulos and Stefanos Ougiaroglou
Collaborative filtering has proved to be one of the most popular and successful rating prediction techniques over the last few years. In collaborative filtering, each rating prediction, concerning a product or a service, is based on the rating values tha...
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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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Markos Konstantakis, Yannis Christodoulou, John Aliprantis and George Caridakis
In recent years, Recommendation Systems (RSs) have gained popularity in different scientific fields through the creation of (mostly mobile) applications that deliver personalized services. A mobile recommendation system (MRS) that classifies in situ visi...
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Alireza Javadian Sabet, Mahsa Shekari, Chaofeng Guan, Matteo Rossi, Fabio Schreiber and Letizia Tanca
One of the travelers? main challenges is that they have to spend a great effort to find and choose the most desired travel offer(s) among a vast list of non-categorized and non-personalized items. Recommendation systems provide an effective way to solve ...
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Efthimis Kotenidis, Nikolaos Vryzas, Andreas Veglis and Charalampos Dimoulas
Interactivity has been a very sought-after feature in professional journalism ever since the media industry transitioned from print into the online space. Within this context, chatbots started to infiltrate the media sphere and provide news organizations...
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Paschalia (Lia) Spyridou, Constantinos Djouvas and Dimitra Milioni
News recommending systems (NRSs) are algorithmic tools that filter incoming streams of information according to the users? preferences or point them to additional items of interest. In today?s high-choice media environment, attention shifts easily betwee...
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Nataliia Melnykova, Nataliya Shakhovska, Volodymyr Melnykov, Kateryna Melnykova and Khrystyna Lishchuk-Yakymovych
The paper describes the medical data personalization problem by determining the individual characteristics needed to predict the number of days a patient spends in a hospital. The mathematical problem of patient information analysis is formalized, which ...
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Dimitris Spiliotopoulos, Dionisis Margaris and Costas Vassilakis
User experience design and subsequent usability evaluation can benefit from knowledge about user interaction, types, deployment settings and situations. Most of the time, the user type and generic requirements are given or can be obtained and used to mod...
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Markos Konstantakis, Georgios Alexandridis and George Caridakis
Recent developments in digital technologies regarding the cultural heritage domain have driven technological trends in comfortable and convenient traveling, by offering interactive and personalized user experiences. The emergence of big data analytics, r...
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Xinpeng Wang, Chaozhong Wu, Jie Xue and Zhijun Chen
To date, automatic driving technology has become a hotspot in academia. It is necessary to provide a personalization of automatic driving decision for each passenger. The purpose of this paper is to propose a self-learning method for personalized driving...
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Vasyl Lytvyn,Victoria Vysotska,Viktor Shatskykh,Ihor Kohut,Oksana Petruchenko,Lyudmyla Dzyubyk,Vitaliy Bobrivetc,Valentyna Panasyuk,Svitlana Sachenko,Myroslav Komar
Pág. 6 - 28
The paper reports a study into recommendation algorithms and determination of their advantages and disadvantages. The method for developing recommendations based on collaborative filtering such as Content-Based Filtering (CBF), Collaborative Filtering (C...
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Cristina Gena, Pierluigi Grillo, Antonio Lieto, Claudio Mattutino and Fabiana Vernero
Aiming at granting wide access to their contents, online information providers often choose not to have registered users, and therefore must give up personalization. In this paper, we focus on the case of non-personalized news recommender systems, and ex...
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Eirini Eleni Tsiropoulou, George Kousis, Athina Thanou, Ioanna Lykourentzou and Symeon Papavassiliou
This paper addresses the problem of museum visitors? Quality of Experience (QoE) optimization by viewing and treating the museum environment as a cyber-physical social system. To achieve this goal, we harness visitors? internal ability to intelligently s...
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Eirini Eleni Tsiropoulou, George Kousis, Athina Thanou, Ioanna Lykourentzou and Symeon Papavassiliou
This paper addresses the problem of museum visitors’ Quality of Experience (QoE) optimization by viewing and treating the museum environment as a cyber-physical social system. To achieve this goal, we harness visitors’ internal ability to int...
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Victor Bunster and Masa Noguchi
Global increases in the demand for energy are imposing strong pressures over the environment while compromising the capacity of emerging economies to achieve sustainable development. In this context, implementation of effective strategies to reduce consu...
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