Recommender systems (RSs) offer personalized navigation experiences on o...
Recent popularity surrounds large AI language models due to their impres...
The successful integration of graph neural networks into recommender sys...
The success of graph neural network-based models (GNNs) has significantl...
In smart electrical grids, fault detection tasks may have a high impact ...
Current AI regulations require discarding sensitive features (e.g., gend...
The increasing application of Artificial Intelligence and Machine Learni...
Metabolic (dysfunction) associated fatty liver disease (MAFLD) establish...
Question answering systems are recognized as popular and frequently effe...
Safety and security issues for Critical Infrastructures (CI) are growing...
Deep Learning and factorization-based collaborative filtering recommenda...
Model-based approaches to recommendation can recommend items with a very...
Hyper-parameters tuning is a crucial task to make a model perform at its...
Recommender Systems have been widely used to help users in finding what ...
In the last years, deep learning has shown to be a game-changing technol...
Similarity measures play a fundamental role in memory-based nearest neig...
Items popularity is a strong signal in recommendation algorithms. It aff...