3 papers
cs.IR2019
How to make latent factors interpretable by feeding Factorization machines with knowledge graphs
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio +2
Model-based approaches to recommendation can recommend items with a very high level of accuracy. Unfortunately, even when the model embeds content-based information, if we move to…
cs.IR2018
The importance of being dissimilar in Recommendation
Vito Walter Anelli, Joseph Trotta, Tommaso Di Noia +2
Similarity measures play a fundamental role in memory-based nearest neighbors approaches. They recommend items to a user based on the similarity of either items or users in a neigh…
cs.IR2018
Local Popularity and Time in top-N Recommendation
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio +2
Items popularity is a strong signal in recommendation algorithms. It strongly affects collaborative filtering approaches and it has been proven to be a very good baseline in terms…