Marcelo G. Manzato
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Discovering latent factors from movies genres for enhanced recommendation
MG Manzato
Proceedings of the sixth ACM conference on Recommender systems, 249-252, 2012
gSVD++ supporting implicit feedback on recommender systems with metadata awareness
MG Manzato
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 908-913, 2013
Exploiting multimodal interactions in recommender systems with ensemble algorithms
AF Da Costa, MG Manzato
Information Systems 56, 120-132, 2016
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
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
Exploiting personalized calibration and metrics for fairness recommendation
DC da Silva, MG Manzato, FA Durão
Expert Systems with Applications 181, 115112, 2021
Exploiting text mining techniques for contextual recommendations
MA Domingues, CV Sundermann, MG Manzato, RM Marcacini, ...
2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI …, 2014
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
Exploiting feature extraction techniques on users’ reviews for movies recommendation
RM D’Addio, MA Domingues, MG Manzato
Journal of the Brazilian Computer Society 23, 1-16, 2017
A sentiment-based item description approach for knn collaborative filtering
RM D'Addio, MG Manzato
Proceedings of the 30th annual ACM symposium on applied computing, 1060-1065, 2015
Devices descriptions for context-based content adaptation
R Eisinger, MG Manzato, R Goularte
Third Latin American Web Congress (LA-WEB'2005), 9 pp., 2005
A collaborative filtering approach based on user's reviews
RM D'Addio, MG Manzato
2014 Brazilian Conference on Intelligent Systems, 204-209, 2014
Using contextual information from topic hierarchies to improve context-aware recommender systems
MA Domingues, MG Manzato, RM Marcacini, CV Sundermann, ...
2014 22nd International Conference on Pattern Recognition, 3606-3611, 2014
Multimedia content personalization based on peer-level annotation
MG Manzato, DB Coimbra, R Goularte
Proceedings of the 7th European Conference on Interactive TV and Video, 57-66, 2009
Pre-processing approaches for collaborative filtering based on hierarchical clustering
FS de Aguiar Neto, AF Da Costa, MG Manzato, RJGB Campello
Information Sciences 534, 172-191, 2020
Mining unstructured content for recommender systems: an ensemble approach
MG Manzato, MA Domingues, AC Fortes, CV Sundermann, RM D’Addio, ...
Information Retrieval Journal 19, 378-415, 2016
Balancing the trade-off between accuracy and diversity in recommender systems with personalized explanations based on Linked Open Data
AL Zanon, LCD da Rocha, MG Manzato
Knowledge-Based Systems 252, 109333, 2022
Live video adaptation: a context-aware approach
MG Manzato, R Goularte
Proceedings of the 11th Brazilian Symposium on Multimedia and the web, 1-8, 2005
Generating recommendations based on robust term extraction from users' reviews
R D'Addio, M Conrado, S Resende, M Manzato
Proceedings of the 20th Brazilian Symposium on Multimedia and the Web, 55-58, 2014
A multimedia recommender system based on enriched user profiles
MG Manzato, R Goularte
Proceedings of the 27th Annual ACM Symposium on Applied Computing, 975-980, 2012
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Articles 1–20