3 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…
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…