Multimodal Interactions in Recommender Systems: An Ensembling Approach. - Arthur da Costa Fortes; Marcelo Garcia Manzato (BRACIS, 2014)

Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. - Arthur F. Da Costa; Marcos Aurélio Domingues; Solange Oliveira Rezende; Marcelo G. Manzato (WI-IAT (2), 2014)

Ensemble Learning in Recommender Systems: Combining Multiple User Interactions for Ranking Personalization. - Arthur da Costa Fortes; 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)

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 (SAC, 2016)

Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (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)

Exploiting multimodal interactions in recommender systems with ensemble algorithms. - Arthur F. Da Costa; Marcelo G. Manzato (Inf. Syst., 2016)

Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users' Feedback. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (J. Inf. Data Manag., 2017)

Similarity-Based Matrix Factorization for Item Cold-Start in Recommender Systems. - Eduardo Pereira Fressato; Arthur Fortes da Costa; Marcelo Garcia Manzato (BRACIS, 2018)

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 (RecSys, 2018)

CoRec: a co-training approach for recommender systems. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (SAC, 2018)

Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods. - Frederico Araújo Durão; Bruno Souza Cabral; Marcelo G. Manzato; Arthur F. Da Costa (SEKE, 2018)

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)

CoBaR: Confidence-Based Recommender. - Fernando Soares de Aguiar Neto; Arthur F. Da Costa; Marcelo G. Manzato (CoRR, 2018)

Enhancing Spatial Keyword Preference Query with Linked Open Data. - João Paulo Dias de Almeida; Frederico Araújo Durão; Arthur Fortes da Costa (J. Univers. Comput. Sci., 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)

Boosting collaborative filtering with an ensemble of co-trained recommenders. - Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (Expert Syst. Appl., 2019)

Pre-processing approaches for collaborative filtering based on hierarchical clustering. - Fernando Soares de Aguiar Neto; Arthur F. Da Costa; Marcelo G. Manzato; Ricardo J. G. B. Campello (Inf. Sci., 2020)