117 citations · 658 across the 80 of their papers we have counts for
5 papers · 1 filter
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…
On the discriminative power of Hyper-parameters in Cross-Validation and how to choose them
Vito Walter Anelli, Tommaso Di Noia, Eugenio Di Sciascio +2
Hyper-parameters tuning is a crucial task to make a model perform at its best. However, despite the well-established methodologies, some aspects of the tuning remain unexplored. As…
Assessing the Impact of a User-Item Collaborative Attack on Class of Users
Yashar Deldjoo, Tommaso Di Noia, Felice Antonio Merra
Collaborative Filtering (CF) models lie at the core of most recommendation systems due to their state-of-the-art accuracy. They are commonly adopted in e-commerce and online servic…
Towards Effective Device-Aware Federated Learning
Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia +1
With the wealth of information produced by social networks, smartphones, medical or financial applications, speculations have been raised about the sensitivity of such data in term…
Recommender Systems Fairness Evaluation via Generalized Cross Entropy
Yashar Deldjoo, Vito Walter Anelli, Hamed Zamani +2
Fairness in recommender systems has been considered with respect to sensitive attributes of users (e.g., gender, race) or items (e.g., revenue in a multistakeholder setting). Regar…