Dr Elias Pimenidis' Outputs (5)

A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation (2019)
Journal Article

Recommender systems' evaluation is usually based on predictive accuracy and information retrieval metrics, with better scores meaning recommendations are of higher quality. However, new algorithms are constantly developed and the comparison of result... Read More about A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation.

A switching multi-level method for the long tail recommendation problem (2019)
Presentation / Conference Contribution

© 2019 - IOS Press and the authors. All rights reserved. Recommender systems are decision support systems that play an important part in generating a list of product or service recommendations for users based on the past experiences and interactions.... Read More about A switching multi-level method for the long tail recommendation problem.

An explanation-based approach for experiment reproducibility in recommender systems (2019)
Journal Article

© 2019, Springer-Verlag London Ltd., part of Springer Nature. The offline evaluation of recommender systems is typically based on accuracy metrics such as the Mean Absolute Error and the Root Mean Squared Error for error rating prediction and Precisi... Read More about An explanation-based approach for experiment reproducibility in recommender systems.

Secure Social Media Spaces for Communities of Vulnerable People (2019)
Presentation / Conference Contribution

© 2019 IEEE. This paper presents a proposal for developing secure social media spaces for groups of people that could be vulnerable to external influences. These could be refuges from war torn or politically unstable countries that could be persecute... Read More about Secure Social Media Spaces for Communities of Vulnerable People.

Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms (2019)
Presentation / Conference Contribution

© 2019, IFIP International Federation for Information Processing. A recommender system uses specific algorithms and techniques in order to suggest specific services, goods or other type of recommendations that users could be interested in. User’s pre... Read More about Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms.