Ricardo J. G. B. Campello

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Publications

2020
[j51]
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Fernando Soares de 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: 172-191 (2020)
2019
[j47]
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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: 427-441 (2019)
2018
[c45]
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  - conf/recsys/CostaFNMC18
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Arthur F. Da Costa, Eduardo P. Fressato, Fernando Soares de Aguiar Neto, Marcelo G. Manzato, Ricardo J. G. B. Campello:
Case recommender: a flexible and extensible python framework for recommender systems. RecSys 2018: 494-495
[c44]
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Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
CoRec: a co-training approach for recommender systems. SAC 2018: 696-703
2017
[j42]
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  - electronic edition @ sbc.org.br
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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): 180-196 (2017)
2016
[c39]
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  - conf/sac/CostaMMC16
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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: 1080-1082
[c38]
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  - conf/webmedia/CostaMC16
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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: 279-286

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