Recommender systems (RSs) offer personalized navigation experiences on o...
Multimodal-aware recommender systems (MRSs) exploit multimodal content (...
The successful integration of graph neural networks into recommender sys...
The success of graph neural network-based models (GNNs) has significantl...
In multimodal-aware recommendation, the extraction of meaningful multimo...
EvalRS aims to bring together practitioners from industry and academia t...
Research on recommender systems algorithms, like other areas of applied
...
Recommender systems are software applications that help users find items...
Explainable Recommendation has attracted a lot of attention due to a ren...
Collaborative filtering models based on matrix factorization and learned...
Recommender Systems have shown to be an effective way to alleviate the
o...
Hyper-parameters tuning is a crucial task to make a model perform at its...