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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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Dimitrios Kaklis, Ioannis Kontopoulos, Iraklis Varlamis, Ioannis Z. Emiris and Takis Varelas
Trajectory data holds pivotal importance in the shipping industry and transcend their significance in various domains, including transportation, health care, tourism, surveillance, and security. In the maritime domain, improved predictions for estimated ...
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Dauren Ayazbayev, Andrey Bogdanchikov, Kamila Orynbekova and Iraklis Varlamis
This work focuses on determining semantically close words and using semantic similarity in general in order to improve performance in information retrieval tasks. The semantic similarity of words is an important task with many applications from informati...
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Minas Pergantis, Iraklis Varlamis, Nikolaos Grigorios Kanellopoulos and Andreas Giannakoulopoulos
With the constant expansion of the Web, search engines became part of people?s daily routines. How users behave during the search process depends on a variety factors, one of which is the topic of their search interest. This study focused on the behavior...
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Alexandros Kouretsis, Iraklis Varlamis, Laida Limniati, Minas Pergantis and Andreas Giannakoulopoulos
Graph-like structures, which are increasingly popular in data representation, stand out since they enable the integration of information from multiple sources. At the same time, clustering algorithms applied on graphs allow for group entities based on si...
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Iraklis Varlamis, Dimitrios Michail, Foteini Glykou and Panagiotis Tsantilas
The combat against fake news and disinformation is an ongoing, multi-faceted task for researchers in social media and social networks domains, which comprises not only the detection of false facts in published content but also the detection of accountabi...
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Andreas Giannakoulopoulos, Minas Pergantis, Nikos Konstantinou, Alexandros Kouretsis, Aristeidis Lamprogeorgos and Iraklis Varlamis
Since the dawn of the new millennium and even earlier, a coordinated effort has been underway to expand the World Wide Web into a machine-readable web of data known as the Semantic Web. The field of art and culture has been one of the most eager to integ...
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Andrey Bogdanchikov, Dauren Ayazbayev and Iraklis Varlamis
The rapid development of natural language processing and deep learning techniques has boosted the performance of related algorithms in several linguistic and text mining tasks. Consequently, applications such as opinion mining, fake news detection or doc...
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Georgios Alexandridis, Iraklis Varlamis, Konstantinos Korovesis, George Caridakis and Panagiotis Tsantilas
As the amount of content that is created on social media is constantly increasing, more and more opinions and sentiments are expressed by people in various subjects. In this respect, sentiment analysis and opinion mining techniques can be valuable for th...
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Andreas Giannakoulopoulos, Minas Pergantis, Nikos Konstantinou, Aristeidis Lamprogeorgos, Laida Limniati and Iraklis Varlamis
The English language is the most dominant language in the Western world and its influence can be noticed in every aspect of human communication. It?s increasing diffusion, especially since the turn of the century, is hard to measure with conventional mea...
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