Arthur Fortes da Costa
Arthur Fortes da Costa
Verified email at icmc.usp.br
Title
Cited by
Cited by
Year
Exploiting multimodal interactions in recommender systems with ensemble algorithms
AF Da Costa, MG Manzato
Information Systems 56, 120-132, 2016
172016
Ensemble learning in recommender systems: Combining multiple user interactions for ranking personalization
A da Costa Fortes, MG Manzato
Proceedings of the 20th Brazilian Symposium on Multimedia and the Web, 47-54, 2014
172014
Boosting collaborative filtering with an ensemble of co-trained recommenders
AF Da Costa, MG Manzato, RJGB Campello
Expert Systems with Applications 115, 427-441, 2019
72019
Mining unstructured content for recommender systems: an ensemble approach
MG Manzato, MA Domingues, AC Fortes, CV Sundermann, RM D’Addio, ...
Information Retrieval Journal 19 (4), 378-415, 2016
72016
CoRec: a co-training approach for recommender systems
AF Da Costa, MG Manzato, RJGB Campello
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 696-703, 2018
52018
Case Recommender: A Recommender Framework
AF da Costa, MG Manzato
Anais Estendidos do XXII Simpósio Brasileiro de Sistemas Multimídia e Web …, 2016
42016
Multimodal interactions in recommender systems: An ensembling approach
AF da Costa, MG Manzato
2014 Brazilian Conference on Intelligent Systems, 67-72, 2014
42014
Case recommender: A flexible and extensible python framework for recommender systems
A da Costa, E Fressato, F Neto, M Manzato, R Campello
Proceedings of the 12th ACM Conference on Recommender Systems, 494-495, 2018
32018
Group-based collaborative filtering supported by multiple users' feedback to improve personalized ranking
AF Da Costa, MG Manzato, RJGB Campello
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 279-286, 2016
32016
Improving personalized ranking in recommender systems with multimodal interactions
AF Da Costa, MA Domingues, SO Rezende, MG Manzato
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014
32014
Similarity-based matrix factorization for item cold-start in recommender systems
EP Fressato, AF da Costa, MG Manzato
2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 342-347, 2018
22018
Incorporating semantic item representations to soften the cold start problem
RM D'Addio, EP Fressato, AF Da Costa, MG Manzato
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 157-164, 2018
22018
Enhancing Spatial Keyword Preference Query with Linked Open Data.
JPD de Almeida, FA Durão, AF da Costa
J. UCS 24 (11), 1561-1581, 2018
12018
CoBaR: Confidence-Based Recommender
FSA Neto, AF Da Costa, MG Manzato
arXiv preprint arXiv:1808.07089, 2018
12018
Introducing the concept of “always-welcome recommendations”
EB dos Santos, AF Da Costa, RM D'addio, MG Manzato, R Goularte
2015 IEEE/ACIS 14th International Conference on Computer and Information …, 2015
12015
Pre-Processing Approaches for Collaborative Filtering Based on Hierarchical Clustering
FS de Aguiar Neto, AF da Costa, MG Manzato, RJGB Campello
Information Sciences, 2020
2020
CoBaR: Confidence-Based Recommender
FS Aguiar Neto, AF da Costa, MG Manzato
arXiv, arXiv: 1808.07089, 2018
2018
Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods.
FA Durao, BS Cabral, MG Manzato, AF Da Costa
SEKE, 697-696, 2018
2018
Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users’ Feedback
AF Da Costa, MG Manzato, RJGB Campello
Journal of Information and Data Management 8 (3), 180-180, 2017
2017
Exploiting different users' interactions for profiles enrichment in recommender systems
AF Da Costa, RD Martins, MG Manzato, RJGB Campello
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 1080-1082, 2016
2016
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Articles 1–20