| 2024 | SAC | A Two-Stage Calibration Approach for Mitigating Bias and Fairness in Recommender Systems. | Rodrigo Souza, Marcelo G. Manzato |
| 2018 | RecSys | Case recommender: a flexible and extensible python framework for recommender systems. | Arthur F. Da Costa, Eduardo P. Fressato, Fernando Soares de Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello |
| 2018 | SAC | CoRec: a co-training approach for recommender systems. | Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello |
| 2018 | SEKE | Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods. | Frederico Arajo Duro, Bruno Souza Cabral, Marcelo G. Manzato, Arthur F. Da Costa |
| 2016 | SAC | Exploiting different users' interactions for profiles enrichment in recommender systems. | Arthur F. Da Costa, Rafael D. Martins, Marcelo G. Manzato, Ricardo J. G. B. Campello |
| 2015 | SAC | A sentiment-based item description approach for kNN collaborative filtering. | Rafael Martins D'Addio, Marcelo G. Manzato |
| 2015 | SAC | Applying multi-view based metadata in personalized ranking for recommender systems. | Marcos Aurlio Domingues, Camila Vaccari Sundermann, Flvio M. M. Barros, Marcelo G. Manzato, Maria G. C. Pimentel, Solange Oliveira Rezende |
| 2014 | SAC | Personalized collaborative filtering: a neighborhood model based on contextual constraints. | Edson B. Santos Junior, Rudinei Goularte, Marcelo G. Manzato |
| 2012 | RecSys | Discovering latent factors from movies genres for enhanced recommendation. | Marcelo G. Manzato |
| 2012 | SAC | A multimedia recommender system based on enriched user profiles. | Marcelo G. Manzato, Rudinei Goularte |