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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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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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Hussein Abdel-Jaber, Disha Devassy, Azhar Al Salam, Lamya Hidaytallah and Malak EL-Amir
Deep learning uses artificial neural networks to recognize patterns and learn from them to make decisions. Deep learning is a type of machine learning that uses artificial neural networks to mimic the human brain. It uses machine learning methods such as...
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Venetia Papa and Thomas Photiadis
Facebook users are exposed to diverse news and political content; this means that Facebook is a significant tool for the enhancement of civic participation and engagement in politics. However, it has been argued that Facebook, through its algorithmic cur...
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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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Muhammad Asif,John Krogstie
Pág. pp. 4 - 9
In most personalized mobile services, the user model remains invisible, and users do not have control over it. Externalization of user models can allow users to get an overview the user model that is used for personalization, and adjust the profile and p...
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