Marcelo G. Manzato
TitleCited byYear
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
282013
Discovering latent factors from movies genres for enhanced recommendation
MG Manzato
Proceedings of the sixth ACM conference on Recommender systems, 249-252, 2012
262012
Devices descriptions for context-based content adaptation
R Eisinger, MG Manzato, R Goularte
Third Latin American Web Congress (LA-WEB'2005), 9 pp., 2005
192005
Exploiting multimodal interactions in recommender systems with ensemble algorithms
AF Da Costa, MG Manzato
Information Systems 56, 120-132, 2016
162016
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
152014
Exploiting text mining techniques for contextual recommendations
MA Domingues, CV Sundermann, MG Manzato, RM Marcacini, ...
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web …, 2014
152014
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
152009
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
132005
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
122012
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
102015
A Collaborative Filtering Approach Based on User's Reviews
RM D'Addio, MG Manzato
2014 Brazilian Conference on Intelligent Systems, 204-209, 2014
102014
Improving personalized ranking in recommender systems with topic hierarchies and implicit feedback
MG Manzato, MA Domingues, RM Marcacini, SO Rezende
2014 22nd International Conference on Pattern Recognition, 3696-3701, 2014
102014
Análise da aprendizagem de circuitos elétricos em cursos de laboratório de física experimental baseados em investigação
GGG Costa, JFM Santos, T Catunda
Programa, 2014
10*2014
Video news classification for automatic content personalization: a genetic algorithm based approach
MG Manzato, R Goularte
Proceedings of the 14th Brazilian Symposium on Multimedia and the Web, 36-43, 2008
102008
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
92014
Supporting multimedia recommender systems with peer-level annotations
MG Manzato, R Goularte
Proceedings of the XV Brazilian Symposium on Multimedia and the Web, 26, 2009
92009
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
82014
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), 7, 2017
62017
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
62016
Combining multiple metadata types in movies recommendation using ensemble algorithms
B Souza Cabral, R Dompieri Beltrao, M Garcia Manzato, F Araújo Durão
Proceedings of the 20th Brazilian Symposium on Multimedia and the Web, 231-238, 2014
62014
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Articles 1–20