Arthur F. Da Costa

Publication Activity (10 Years)

Years Active: 2014-2020
Publications (10 Years): 12

Top Topics

Recommender Systems

Clustering Approaches

Search Space Reduction

Top Venues

Publications

Fernando S. Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
Pre-processing approaches for collaborative filtering based on hierarchical clustering. Inf. Sci. 534 (2020)
Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
Boosting collaborative filtering with an ensemble of co-trained recommenders. Expert Syst. Appl. 115 (2019)
Arthur F. Da Costa, Rafael Martins D'Addio, Eduardo P. Fressato, Marcelo G. Manzato
A personalized clustering-based approach using open linked data for search space reduction in recommender systems. WebMedia (2019)
Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
CoRec: a co-training approach for recommender systems. SAC (2018)
Fernando S. Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato
CoBaR: Confidence-Based Recommender. CoRR (2018)
Rafael Martins D'Addio, Eduardo P. Fressato, Arthur F. Da Costa, Marcelo G. Manzato
Incorporating Semantic Item Representations to Soften the Cold Start Problem. WebMedia (2018)
Frederico Araújo Durão, Bruno Souza Cabral, Marcelo G. Manzato, Arthur F. Da Costa
Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods. SEKE (2018)
Arthur F. Da Costa, Eduardo P. Fressato, Fernando S. Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello
Case recommender: a flexible and extensible python framework for recommender systems. RecSys (2018)
Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users' Feedback. J. Inf. Data Manag. 8 (3) (2017)
Arthur F. Da Costa, Marcelo G. Manzato
Exploiting multimodal interactions in recommender systems with ensemble algorithms. Inf. Syst. 56 (2016)
Arthur F. Da Costa, Rafael D. Martins, Marcelo G. Manzato, Ricardo J. G. B. Campello
Exploiting different users' interactions for profiles enrichment in recommender systems. SAC (2016)
Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello
Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. WebMedia (2016)
Edson B. dos Santos, Arthur F. Da Costa, Rafael Martins D'Addio, Marcelo Garcia Manzato, Rudinei Goularte
Introducing the concept of "always-welcome recommendations". ICIS (2015)
Arthur F. Da Costa, Marcos Aurélio Domingues, Solange Oliveira Rezende, Marcelo G. Manzato
Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. WI-IAT (2) (2014)