23 citations · 28 across the 5 of their papers we have counts for
4 papers · 1 filter
Ranker-agnostic Contextual Position Bias Estimation
Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz +4
Learning-to-rank (LTR) algorithms are ubiquitous and necessary to explore the extensive catalogs of media providers. To avoid the user examining all the results, its preferences ar…
Knowledge-aware Autoencoders for Explainable Recommender Sytems
Vito Bellini, Angelo Schiavone, Tommaso Di Noia +2
Recommender Systems have been widely used to help users in finding what they are looking for thus tackling the information overload problem. After several years of research and ind…
Computing recommendations via a Knowledge Graph-aware Autoencoder
Vito Bellini, Angelo Schiavone, Tommaso Di Noia +2
In the last years, deep learning has shown to be a game-changing technology in artificial intelligence thanks to the numerous successes it reached in diverse application fields. Am…
Auto-Encoding User Ratings via Knowledge Graphs in Recommendation Scenarios
Vito Bellini, Vito Walter Anelli, Tommaso Di Noia +1
In the last decade, driven also by the availability of an unprecedented computational power and storage capabilities in cloud environments we assisted to the proliferation of new a…