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Journal Articles
- 2020
[j6]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
- [j5]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
- [j4]João Paulo Dias de Almeida, Frederico Araújo Durão, Arthur Fortes da Costa:
Enhancing Spatial Keyword Preference Query with Linked Open Data. J. Univers. Comput. Sci. 24(11): 1561-1581 (2018) - 2017
- [j3]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
- [j2]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:
Mining unstructured content for recommender systems: an ensemble approach. Inf. Retr. J. 19(4): 378-415 (2016) - [j1]Arthur F. Da Costa, Marcelo G. Manzato:
Exploiting multimodal interactions in recommender systems with ensemble algorithms. Inf. Syst. 56: 120-132 (2016)
Conference and Workshop Papers
- 2019
- [c12]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: 409-416 - 2018
- [c11]Eduardo Pereira Fressato, Arthur Fortes da Costa, Marcelo Garcia Manzato:
Similarity-Based Matrix Factorization for Item Cold-Start in Recommender Systems. BRACIS 2018: 342-347 - [c10]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 - [c9]Arthur F. Da Costa, Marcelo G. Manzato, Ricardo J. G. B. Campello:
CoRec: a co-training approach for recommender systems. SAC 2018: 696-703 - [c8]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: 697-696 - [c7]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: 157-164 - 2016
- [c6]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 - [c5]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 - 2015
- [c4]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: 197-202 - 2014
- [c3]Arthur da Costa Fortes, Marcelo Garcia Manzato:
Multimodal Interactions in Recommender Systems: An Ensembling Approach. BRACIS 2014: 67-72 - [c2]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: 198-204 - [c1]Arthur da Costa Fortes, Marcelo Garcia Manzato:
Ensemble Learning in Recommender Systems: Combining Multiple User Interactions for Ranking Personalization. WebMedia 2014: 47-54
Informal and Other Publications
- 2018
- [i1]Fernando Soares de Aguiar Neto, Arthur F. Da Costa, Marcelo G. Manzato:
CoBaR: Confidence-Based Recommender. CoRR abs/1808.07089 (2018)
Coauthor Index
aka: Marcelo Garcia Manzato
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