In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if
harnessed appropriately, may deliver the best of expectations over many application sectors …

Due to their tremendous potential in predictive tasks, Machine Learning techniques such as
Artificial Neural Networks have received great attention from both research and practice …

This paper provides an extensive overview of the use of knowledge graphs in the context of
Explainable Machine Learning. As of late, explainable AI has become a very active field of …

Abstract Although Deep Neural Networks (DNNs) have great generalization and prediction
capabilities, their functioning does not allow a detailed explanation of their behavior …

Collaborative filtering recommendation algorithms generate suggestions based on similar
interactions between users. Although it provides accurate recommendations, the approach …

Electronic petition (e-petition) is an electronic government (e-government) service that
allows citizens to file petitions to governments via the internet. The complexity of the e …

Purpose Tags help promote customer engagement on video-sharing platforms. Video tag
recommender systems are artificial intelligence-enabled frameworks that strive for …

Explainable recommendations become essential when we need to improve the performance
of recommendations and to increase user confidence. Explanations are effective when end …

Recent studies have shown that providing personalized explanations alongside
recommendations increases trust and perceived quality. Furthermore, it gives users an …

Recommender systems are being increasingly used to predict the preferences of users on
online platforms and recommend relevant options that help them cope with information …