A Collaborative Filtering Approach Based on User's Reviews. - Rafael Martins D'Addio; Marcelo Garcia Manzato (BRACIS, 2014)

Generating Recommendations Based on Robust Term Extraction from Users' Reviews. - Rafael Martins D'Addio; Merley Conrado; Solange O. Rezende; Marcelo Garcia Manzato (WebMedia, 2014)

Introducing the concept of "always-welcome recommendations". - Edson B. dos Santos; Arthur F. Da Costa; Rafael Martins D'Addio; Marcelo Garcia Manzato; Rudinei Goularte (ICIS, 2015)

A sentiment-based item description approach for kNN collaborative filtering. - Rafael Martins D'Addio; Marcelo G. Manzato (SAC, 2015)

Exploiting Item Representations for Soft Clustering Recommendation. - Rafael Martins D'Addio; Marcelo G. Manzato (WebMedia, 2016)

Mining unstructured content for recommender systems: an ensemble approach. - Marcelo G. Manzato; Marcos Aurélio Domingues; Arthur da Costa Fortes; Camila Vaccari Sundermann; Rafael Martins D'Addio; Merley da Silva Conrado; Solange O. Rezende; Maria G. C. Pimentel (Inf. Retr. J., 2016)

Semantic Organization of User's Reviews Applied in Recommender Systems. - Ronnie S. Marinho; Rafael Martins D'Addio; Marcelo G. Manzato (WebMedia, 2017)

Exploiting feature extraction techniques on users' reviews for movies recommendation. - Rafael Martins D'Addio; Marcos Aurélio Domingues; Marcelo G. Manzato (J. Braz. Comput. Soc., 2017)

Incorporating Semantic Item Representations to Soften the Cold Start Problem. - Rafael Martins D'Addio; Eduardo P. Fressato; Arthur F. Da Costa; Marcelo G. Manzato (WebMedia, 2018)

A personalized clustering-based approach using open linked data for search space reduction in recommender systems. - Arthur F. Da Costa; Rafael Martins D'Addio; Eduardo P. Fressato; Marcelo G. Manzato (WebMedia, 2019)

Combining different metadata views for better recommendation accuracy. - Rafael Martins D'Addio; Ronnie S. Marinho; Marcelo G. Manzato (Inf. Syst., 2019)

Extended recommendation-by-explanation. - Arpit Rana; Rafael Martins D'Addio; Marcelo G. Manzato; Derek Bridge 001 (User Model. User Adapt. Interact., 2022)