4 papers
How Much Do Reviews Really Contribute? A Study on Text-Enriched Matrix Factorization for Recommendations
Eduardo Ferreira da Silva, Mayki dos Santos Oliveira, Joel Machado Pires Denis Dantas Boaventura +1
Incorporating textual reviews into a Recommender System has become a prominent strategy for enriching collaborative signals with semantic information. However, the actual contribut…
A Gated Hybrid Contrastive Collaborative Filtering Recommendation
Eduardo Ferreira da Silva, Mayki dos Santos Oliveira, Joel Machado Pires +6
Recommender systems increasingly incorporate textual reviews to enrich user and item representations. However, most review-aware models remain optimized for rating prediction rathe…
About Matter Effects on Neutrino Mixing Matrix Phases
Pedro Cunha de Holanda, Macello Jales de Carvalho Fonseca Filho, Eduardo Walter da Silva
As is widely known, the flavour and mass eigenbasis in neutrino sector can be related by a reduced unitary matrix, described by 3 real parameters and one phase, for Dirac neutrinos…
Understanding Distribution Structure on Calibrated Recommendation Systems
Diego Correa da Silva, Denis Robson Dantas Boaventura, Mayki dos Santos Oliveira +3
Traditional recommender systems aim to generate a recommendation list comprising the most relevant or similar items to the user's profile. These approaches can create recommendatio…