Marcelo Garcia Manzato Associate Professor mmanzato at icmc dot usp dot br Interactive Web and Multimedia Systems Research Group Department of Computer Science Mathematics and Computer Science Institute University of São Paulo Caixa Postal 668. Av. Trabalhador São-carlense, 400 13560-970 São Carlos, SP - Brazil Phone: +55 16 3373.6601, Intermídia Lab: +55 16 3373.9668, Fax: +55 16 3373.9751

• Associate Full Professor (2018): Instituto de Ciências Matemáticas e de Computação - Universidade de São Paulo (ICMC-USP)
• PhD (2011): Instituto de Ciências Matemáticas e de Computação - Universidade de São Paulo (ICMC-USP)
• MSc (2006): Instituto de Ciências Matemáticas e de Computação - Universidade de São Paulo (ICMC-USP)
• BSc (2004): Departamento de Computação - Universidade Estadual de Londrina (UEL)

• My CV in the Plataforma Lattes (CNPq) is available here (Portuguese).
• My CV in English is available here.
• My ResearcherID webpage is avaliable here.
• My Google Scholar Profile is available here.

• Recommender Systems (context-aware, content/collaborative/hybrid/conversational recommenders, user profiling, explainable recommenders, etc.)
  
• Information Retrieval (social tagging, classification, sentiment analysis, opinion mining, semantic web, etc.)
  
• Multimedia Personalization (video segmentation/classification, metadata extraction, video indexing, content-based retrieval, etc.)
  

• (2016-2018) FAPESP proc. number 2016/20280-6: Semantic Organization of Collaborative Users' Annotations Applied in Recommender Systems
• The project aims to investigate how to semantically organize the huge amount of data produced by users in order to improve the accuracy of recommender systems.

• (2014-2016) FAPESP proc. number 2013/22547-1: Exploring Collaborative Annotations in Hybrid Recommender Systems
• The project aims to investigate the use of collaborative annotations to enrich users and items' descriptions for recommendation tasks.

• (2012-2014) FAPESP proc. number 2011/17366-2: Advanced Methods for Multimedia Content Selection
• The project aims to investigate how different users' interactions with multimedia content can be exploited to augment recommender systems.

• (2014) CAPES proc. number AEX 4796/14-4: The 2014 Web Intelligence Conference - WIC 2014
• This grant was obtained to support the participation on the scientific conference Web Intelligence 2014.

• (2014) FAPESP proc. number 2013/25066-4: SAC2014 29th symposium on applied computing
• This grant was obtained to support the participation on the scientific conference SAC 2014.

• (2013) FAPESP proc. number 2013/17700-5: 19th Brazilian symposium on multimedia and the web - WebMedia 2013
• This grant was obtained to support the organization of the scientific conference WebMedia 2013.

2021

• Ferraz, C. T.; Barcelos, W.; Pereira Junior, O.; Borges, T. T. N.; Manzato, M. G.; Gonzaga, A.; Saito, J. H. A comparison among keyframe extraction techniques for CNN classification based on video periocular images. Multimedia Tools and Applications (Dordrecht. Online), 2021.

2020

• Aguiar Neto, F. S.; Costa, A. F.; Manzato, M. G.; Campello, R. J. G. B. Pre-Processing Approaches for Collaborative Filtering Based on Hierarchical Clustering. Information Sciences, v. 534, p. 172-191, 2020.

2019

• D'Addio, R. M.; Marinho, R. S.; Manzato, M. G. Combining different metadata views for better recommendation accuracy. Information Systems, v. 83, p. 1-12, 2019.
• Costa, A. F.; D'Addio, R. M.; Fressato, E. P.; Manzato, M. G. A personalized clustering-based approach using open linked data for search space reduction in recommender systems. In: the 25th Brazillian Symposium, 2019, Rio de Janeiro. Proceedings of the 25th Brazillian Symposium on Multimedia and the Web - WebMedia '19, 2019. p. 409-416.

2018

• Costa, A. F.; Manzato, M. G.; Campello, R. J. G. B. Boosting Collaborative Filtering with an Ensemble of Co-trained Recommenders. Expert Systems with Applications, v. 115, p. 427-441, 2018.
• Costa, A. F.; Manzato, M. G.; Campello, R. J. G. B. CoRec: a co-training approach for recommender systems. In: Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 696-703.
• Durao, F. A.; Cabral, B. S.; Costa, A. F.; Manzato, M. G. Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods. In: Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering, Pittsburgh: KSI Research Inc. and Knowledge Systems Institute Graduate School, 2018.

2017

• D’Addio, R. M.; Domingues, M. A.; Manzato, M. G. Exploiting feature extraction techniques on users’ reviews for movies recommendation. Journal of the Brazilian Computer Society 23 (1), 7.
• Costa, A. F.; Manzato, M. G.; Campello, R. J. G. B. Ensemble Clustering Approaches Applied in Group-based Collaborative Filtering Supported by Multiple Users’ Feedback. Journal of Information and Data Management 8 (3), 180.
• Marinho, R. S.; D'Addio, R. M.; Manzato, M. G. Semantic Organization of User's Reviews Applied in Recommender Systems. In: Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web, 277-280.

2016

• Costa, A. F.; Manzato, M. G.; Campello, R. J. G. B. Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking. In: 22nd Brazilian Symposium on Multimedia and the Web, 2016, Teresina-PI. p. 279-286. (Best Paper Award).
• D'Addio, R. M.; Manzato, M. G. Exploiting Item Representations for Soft Clustering Recommendation. In: 22nd Brazilian Symposium on Multimedia and the Web, 2016, Teresina-PI. p. 271-278.
• Costa, A. F.; D'Addio, R. M.; Manzato, M. G.; Campello, R. J. G. B. Exploiting different users' interactions for profiles enrichment in recommender systems. In: The 31st AC/SIGAPP Symposium on Applied Computing, 2016, Pisa, Italy. Proceedings of the 31st ACM/SIGAPP Symposium on Applied Computing, 2016
• Manzato, M. G.; Domingues, M. A.; Costa, A. F.; Sundermann, C. V.; D'Addio, R. M.; Conrado, M.; Rezende, S. O.; Pimentel, M. G. P. Mining Unstructured Content for Recommender Systems: an Ensemble Approach. Information Retrieval (Boston), p. 1-38, 2016.
• Ferraz, C. T.; Gonzaga, A.; Manzato, M. G. Complex indoor scene classification based on a new feature descriptor. In: International Conference on Pattern Recognition Systems (ICPRS16). International Conference on Pattern Recognition Systems (ICPRS16). p. 3 (6.)-6.

2015

• Domingues, M. A.; Sundermann, C. V.; Barros, F.; Manzato, M. G.; Pimentel, M. G. C.; Rezende, S. O.; Oliveira, S. Applying Multi-View Based Metadata in Personalized Ranking for Recommender Systems. In: 30th Symposium on Applied Computing, 2015, Salamanca, Spain. Proceedings of the 30th Symposium on Applied Computing. New York: ACM, 2015.
• Marques Júnior, S.; Manzato, M. G. Collaborative Filtering Based on Semantic Distance Among Items. In: Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia), 2015, Manaus. Anais do 21o Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia). Nova Iorque: ACM, 2015.
• D'Addio, R. M.; Manzato, M. G. A Sentiment-Based Item Description Approach for kNN Collaborative Filtering. In: 30th Symposium on Applied Computing, 2015, Salamanca, Spain. Proceedings of the 30th Symposium on Applied Computing. New York: ACM, 2015. p. 1060-1065.
• Costa, A. F.; Manzato, M. G. Exploiting Multimodal Interactions in Recommender Systems with Ensemble Algorithms. Information Systems (Oxford), v. 56, p. 120-132, 2015.
• Manzato, M. G.; Santos Júnior, E. B.; Goularte, R. Leveraging Hybrid Recommenders with Multifaceted Implicit Feedback. Journal of Universal Computer Science, v. 21, p. 223-247, 2015

2014

• Domingues, M. A.; Manzato, M. G.; Marcacini, R. M.; Sundermann, C. V.; Rezende, S. O. Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems. In: 22nd International Conference on Pattern Recognition (ICPR 2014), 2014, Stockholm. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014). Los Alamitos: IEEE, 2014. p. 3606-3611.
• Manzato, M. G.; Domingues, M. A.; Rezende, S. O. Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness. In: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014, Warsaw. 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). p. 191-197.
• Domingues, M. O.; Sundermann, C. V.; Manzato, M. G.; Marcacini, R. M.; Rezende, S. O. Exploiting Text Mining Techniques for Contextual Recommendations. In: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014, Warsaw. 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). p. 210-217.
• D'Addio, R. M.; Manzato, M. G. A Collaborative Filtering Approach based on User's Reviews. In: Joint Conference on Robotics and Intelligent Systems 2014, 2014, São Carlos. Proceedings of the Brazilian Conference on Intelligent Systems (BRACIS). Los Alamitos: IEEE, 2014. p. 204-209.
• Manzato, M. G.; Domingues, M. A.; Marcacini, R. M.; Rezende, S. O. Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback. In: 22nd International Conference on Pattern Recognition (ICPR 2014), 2014, Stockholm. Proceedings of the 22nd International Conference on Pattern Recognition (ICPR 2014). Los Alamitos: IEEE, 2014. p. 3696-3701.
• D'Addio, R. M.; Conrado, M.; Rezende, S. O.; Manzato, M. G. Generating Recommendations Based on Robust Term Extraction from Users Reviews. In: 20th Brazilian Symposium on Multimedia and the Web, 2014, João Pessoa-PB. Proceedings of the 20th Brazilian Symposium on Multimedia and the Web. New York: ACM, 2014. p. 55-58. (Honorable Mention Award).
• Costa, A. F.; Domingues, M. A.; Rezende, S. O.; Manzato, M. G. Improving Personalized Ranking in Recommender Systems with Multimodal Interactions. In: 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2014, Warsaw. 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). p. 198-204
• Costa, A. F.; Manzato, M. G. Multimodal Interactions in Recommender Systems: An Ensembling Approach. In: Joint Conference on Robotics and Intelligent Systems 2014, 2014, São Carlos. Proceedings of the Brazilian Conference on Intelligent Systems (BRACIS). Los Alamitos: IEEE, 2014. p. 67-72.
• Costa, A. F.; Manzato, M. G. Ensemble Learning in Recommender Systems: Combining Multiple User Interactions for Ranking Personalization. In: 20th Brazilian Symposium on Multimedia and the Web, 2014, João Pessoa-PB. Proceedings of the 20th Brazilian Symposium on Multimedia and the Web. New York: ACM, 2014. p. 47-54.
• Santos Júnior, E. B.; Goularte, R.; Manzato, M. G. Personalized Collaborative Filtering: A Neighborhood Model Based on Contextual Constraints. In: 29th Symposium on Applied Computing, 2014, Gyeongju, South Korea. Proceedings of the 29th Symposium on Applied Computing. New York: ACM, 2014. p. 919-924
• Cabral, B.; Beltrão, R. D.; Manzato, M. G.; Durão, F. A. Combining Multiple Metadata Types in Movies Recommendation Using Ensemble Algorithms. In: 20th Brazilian Symposium on Multimedia and the Web, 2014, João Pessoa-PB. Proceedings of the 20th Brazilian Symposium on Multimedia and the Web. New York: ACM, 2014. p. 231-238.

2013

• Santos Júnior, E. B.; Manzato, M. G.; Goularte, R.Hybrid recommenders: incorporating metadata awareness into latent factor models. In: 19th Brazilian Symposium on Multimedia and the Web, 2014, Salvador-BA. Proceedings of the 19th Brazilian Symposium on Multimedia and the Web. New York: ACM, 2013. p. 317-324.
• Manzato, M. G. gSVD++: supporting implicit feedback on recommender systems with metadata awareness. In: 28th Symposium On Applied Computing, 2013, Coimbra, Portugal. Proceedings of the 28th Symposium On Applied Computing. New York: ACM, 2013. p. 908-913.

2012

• Manzato, M. G.; Goularte, R. A multimedia recommender system based on enriched user profiles. In: 27th Symposium On Applied Computing, 2012, Riva Del Garda (Trento). Proceedings of the 27th Symposium On Applied Computing. New York: ACM, 2012. p. 975-980.
• Manzato, M. G.; Goularte, R. Automatic annotation of tagged content using predefined semantic concepts. In: 18th Brazilian Symposium on Multimedia and the Web, 2012, São Paulo. Proceedings of the 18th Brazilian Symposium on Multimedia and the Web. New York: ACM, 2012. p. 1-8.
• Carvalho, J.; Manzato, M. G.; Goularte, R. Accelerometers data interoperability: easing interactive applications development. In: Brazilian Symposium on Multimedia Systems and the Web, 2012, São Paulo. Proceedings of the XVIII Brazilian Symposium on Multimedia Systems and the Web. New York: ACM, 2012. p. 20-28. (Notable Computing Books and Articles of 2012 Award, ACM).
• Manzato, M. G. Discovering Latent Factors from Movies Genres for Enhanced Recommendation. In: ACM Conference on Recommender Systems, 2012, Dublin. Proceedings of the 6th ACM Conference on Recommender Systems. New York: ACM, 2012. p. 249-252.

2011

• Manzato, M. G.; Goularte, R.; Coimbra, D. B. An enhanced content selection mechanism for personalization of video news programmes. Multimedia Systems, v. 17, p. 19-34, 2011

2010

• Manzato, M. G.; Goularte, R. Peersommender: A peer-level annotation based approach for multimedia recommendation. Journal of Information and Data Management - JIDM, v. 1, p. 277-292, 2010

• Best Paper Award for the paper A personalized clustering-based approach using open linked data for search space reduction in recommender systems, published in WebMedia 2019.
• Second Place on Best Paper Aaward for the paper Evaluating Multiple User Interactions for Ranking Personalization Using Ensemble Methods, published in SEKE 2018.
• Best Paper Award for the paper Group-based Collaborative Filtering Supported by Multiple Users' Feedback to Improve Personalized Ranking, published in WebMedia 2016.
• Honorable Mention Award for the paper Generating Recommendations Based on Robust Term Extraction from Users' Reviews, published in WebMedia 2014.
• ACM Notable Computing Books and Articles Award for the paper Accelerometers data interoperability: easing interactive applications development, published in WebMedia 2012.

2021, First Semester

• SCC0124 - Introdução à Computação para Engenharias (Introduction to Programming for Engineering Courses)
• SCC0284 - Sistemas de Recomendação (Recommender Systems)
• SCC0282 - Recuperação de Informação (Information Retrieval)

2020, Second Semester

• SCC0202 - Algoritmos e Estruturas de Dados I (Algorithms and Data Structures)
• SCC0502 - Algoritmos e Estruturas de Dados I (Algorithms and Data Structures)

2020, First Semester

• SCC0124 - Introdução à Computação para Engenharias (Introduction to Programming for Engineering Courses)
• SCC0284 - Sistemas de Recomendação (Recommender Systems)
• SCC0282 - Recuperação de Informação (Information Retrieval)

2019, Second Semester

• SCC0604 - Programação Orientada a Objetos (Object Oriented Programming)
• SCC5966 - Sistemas de Recomendação (Recommender Systems)
• SCC0299 - Projeto Supervisionado ou de Graduação (Supervised Project or Undergraduate Project)

2019, First Semester

• SCC0299 - Projeto Supervisionado ou de Graduação (Supervised Project or Undergraduate Project)
• SCC0124 - Introdução à Computação para Engenharias (Introduction to Programming for Engineering Courses)
• SCC5900 - Projeto de Algoritmos (Algorithms Project)

2018, Second Semester

• SCC0661 - Multimídia e Hipermídia (Multimedia and Hypermedia)
• SCC5966 - Sistemas de Recomendação (Recommender Systems)
• SCC0122 - Estruturas de Dados (Data Structures)

2018, First Semester

• SCC0561 - Multimídia (Multimedia)
• SCC0284 - Sistemas de Recomendação (Recommender Systems)
• SCC0120 - Introdução à Ciência da Computação I (Computer Science Introduction)

2017, Second Semester

• SCC5931 - Recuperação de Informação (Information Retrieval)
• SCC0299 - Projeto Supervisionado ou de Graduação (Supervised Project or Undergraduate Project)
• SCC0202 - Algoritmos e Estruturas de Dados I (Algorithms and Data Structures)

2017, First Semester

• SCC0561 - Multimídia (Multimedia)
• SCC0222 - Laboratório de Introdução a Ciências de Computação I (Laboratory of Computer Science Introduction) (Downloads)

2016, Second Semester

• SCC0661 - Multimídia e Hipermídia (Multimedia and Hypermedia)
• SCC5931 - Recuperação de Informação (Information Retrieval)
• SCC0299 - Projeto Supervisionado ou de Graduação (Supervised Project or Undergraduate Project)

2016, First Semester

• SCC0261 - Multimídia (Multimedia)
• SCC0561 - Multimídia (Multimedia)
• SCC5909 - Fundamentos de Multimídia (Multimedia Fundamentals)
• SCC0299 - Projeto Supervisionado ou de Graduação (Supervised Project or Undergraduate Project)

2015, Second Semester

• SCC0214 - Projeto de Algoritmos (Algorithms Project)
• SCC0604 - Programação Orientada a Objetos (Object Oriented Programming)

• SCC0120 - Introdução à Ciência da Computação I (Computer Science Introduction)
• SCC0561 - Multimídia (Multimedia)
• SCC5909 - Fundamentos de Multimídia (Multimedia Fundamentals)
• SCC0299 - Projeto Supervisionado ou de Graduação II (Supervised Project or Undergraduate Project)
  

• SCC0122 - Estruturas de Dados (Data Structures)
• SCC0563 - Técnicas de Programação para Web (Web Programming Techniques)
• SCC5931 - Fundamentos de Recuperação de Informação (Information Retrieval)
  

2014, First Semester

• SCC0215 - Organização de Arquivos (File Organization)
• SCC0263 - Técnicas de Programação para Web (Web Programming Techniques)

2013, Second Semester

• SCC0263 - Técnicas de Programação para Web (Web Programming Techniques)
• SCC0563 - Técnicas de Programação para Web (Web Programming Techniques)
• SCC5931 - Fundamentos de Recuperação de Informação (Information Retrieval)

2013, First Semester

• SCC0204 - Programação Orientada a Objetos (Object Oriented Programming)
• SCC0204 - Programação Orientada a Objetos (Object Oriented Programming)

2012, Second Semester

• SCC0202 - Algoritmos e Estruturas de Dados I (Algorithms and Data Structures)
• SCC0561 - Multimídia (Multimedia)
• SCC0563 - Técnicas de Programação para Web (Web Programming Techniques)

2012, First Semester

• SCC0120 - Introdução à Ciência da Computação I (Computer Science Introduction)
• SCC0261 - Multimídia (Multimedia)
• SCC0561 - Multimídia (Multimedia)

2011, Second Semester

• SCC0201 - Introdução à Ciência da Computação II (Computer Science Introduction)
• SCC0560 - Interação Usuário-Computador (Human-Computer Interaction)
• SCC0661 - Multimídia e Hipermídia (Multimedia and Hypermedia)
  

Last updated: March 30th, 2021.