Arthur F. Da Costa

14 papers A 1C 2Misc 2Journal 5Unranked 4

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