Skip to main content

Research Repository

Advanced Search

An approach for Web Service selection and dynamic composition based on Linked open Data (2018)
Book Chapter
Vesyropoulos, N., Georgiadis, C., & Pimenidis, E. (2018). An approach for Web Service selection and dynamic composition based on Linked open Data. In R. Kowalczyk, & N. T. Nguyen (Eds.), Transactions on Computational Collective Intelligence XXX, (54-71). Springer. https://doi.org/10.1007/978-3-319-99810-7_3

The wide adoption of the Service Oriented Architecture (SOA) paradigm has provided a means for heterogeneous systems to seamlessly interact and exchange data. Thus, enterprises and end-users have widely utilized Web Services (WS), either as stand-alo... Read More about An approach for Web Service selection and dynamic composition based on Linked open Data.

Reproduction of experiments in recommender systems evaluation based on explanations (2018)
Book Chapter
Polatidis, N., & Pimenidis, E. (2018). Reproduction of experiments in recommender systems evaluation based on explanations. In E. Pimenidis, & C. Jayne (Eds.), Engineering Applications of Neural NetworksSpringer International Publishing AG. https://doi.org/10.1007/978-3-319-98204-5

The offline evaluation of recommender systems is typically based on accuracy metrics such as the Mean Absolute Error (MAE) and the Root Mean Squared Error (RMSE), while on the other hand Precision and Recall is used to measure the quality of the top-... Read More about Reproduction of experiments in recommender systems evaluation based on explanations.

Mobile recommender systems: Identifying the major concepts (2018)
Journal Article
Pimenidis, E., Polatidis, N., & Mouratidis, H. (2019). Mobile recommender systems: Identifying the major concepts. Journal of Information Science, 45(3), 387-397. https://doi.org/10.1177/0165551518792213

© The Author(s) 2018. This article identifies the factors that have an impact on mobile recommender systems. Recommender systems have become a technology that has been widely used by various online applications in situations where there is an informa... Read More about Mobile recommender systems: Identifying the major concepts.

From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks (2018)
Journal Article
Polatidis, N., Pimenidis, E., Pavlidis, M., Papastergiou, S., & Mouratidis, H. (2020). From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks. Evolving Systems, 11(2), 479-490. https://doi.org/10.1007/s12530-018-9234-z

Modern information society depends on reliable functionality of information systems infrastructure, while at the same time the number of cyber-attacks has been increasing over the years and damages have been caused. Furthermore, graphs can be used to... Read More about From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks.

Reproducibility of experiments in recommender systems evaluation (2018)
Journal Article
Polatidis, N., Kapetanakis, S., Pimenidis, E., & Kosmidis, K. (2018). Reproducibility of experiments in recommender systems evaluation. IFIP Advances in Information and Communication Technology, 519, 401-409. https://doi.org/10.1007/978-3-319-92007-8_34

© IFIP International Federation for Information Processing 2018 Published by Springer International Publishing AG 2018. All Rights Reserved. Recommender systems evaluation is usually based on predictive accuracy metrics with better scores meaning rec... Read More about Reproducibility of experiments in recommender systems evaluation.