Marcos Aurélio Domingues

According to our database, Marcos Aurélio Domingues authored at least 49 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Stingless Bee Classification: A New Dataset and Baseline Results.

Matheus H. C. Leme, Vinicius S. Simm, Douglas Rorie Tanno, Yandre M. G. Costa, Marcos Aurélio Domingues

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022

Context-Aware Music Recommendation with Metadata Awareness and Recurrent Neural Networks.

Igor André Pegoraro Santana, Marcos Aurélio Domingues

Comput. Informatics, 2022

Improving Multilabel Text Classification with Stacking and Recurrent Neural Networks.

Rodrigo Mansueli Nunes, Marcos Aurélio Domingues, Valéria Delisandra Feltrim

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

2020

A context-aware recommender method based on text and opinion mining.

Camila Vaccari Sundermann, Renan de Padua, Vítor Rodrigues Tonon, Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende

Expert Syst. J. Knowl. Eng., 2020

A Systematic Review on Context-Aware Recommender Systems using Deep Learning and Embeddings.

Igor André Pegoraro Santana, Marcos Aurélio Domingues

CoRR, 2020

Improving Context-Aware Music Recommender Systems with a Dual Recurrent Neural Network.

Igor André Pegoraro Santana, Marcos Aurélio Domingues

Proceedings of the Information Management and Big Data, 2020

Improving Musical Tag Annotation with Stacking and Convolutional Neural Networks.

Juliano Donini da Silva, Yandre Maldonado e Gomes da Costa, Marcos Aurélio Domingues

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Music4All: A New Music Database and Its Applications.

Igor André Pegoraro Santana, Fabio Pinhelli, Juliano Donini, Leonardo Gabiato Catharin, Rafael Biazus Mangolin, Yandre Maldonado e Gomes da Costa, Valéria Delisandra Feltrim, Marcos Aurélio Domingues

Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

2019

Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review.

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Roberta Akemi Sinoara, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Inf., 2019

A Context-Aware Recommender Method Based on Text Mining.

Camila Vaccari Sundermann, Renan de Pádua, Vítor Rodrigues Tonon, Marcos Aurélio Domingues, Solange Oliveira Rezende

Proceedings of the Progress in Artificial Intelligence, 2019

Exploring Textual Features for Multi-label Classification of Portuguese Film Synopses.

Giuseppe Portolese, Marcos Aurélio Domingues, Valéria Delisandra Feltrim

Proceedings of the Progress in Artificial Intelligence, 2019

Exploring Multi-label Stacking in Natural Language Processing.

Rodrigo Mansueli Nunes, Marcos Aurélio Domingues, Valéria Delisandra Feltrim

Proceedings of the Progress in Artificial Intelligence, 2019

2018

Latent association rule cluster based model to extract topics for classification and recommendation applications.

Fabiano Fernandes dos Santos, Marcos Aurélio Domingues, Camila Vaccari Sundermann, Veronica Oliveira de Carvalho, Maria Fernanda Moura, Solange Oliveira Rezende

Expert Syst. Appl., 2018

Exploration of Word Embedding Model to Improve Context-Aware Recommender Systems.

Camila Vaccari Sundermann, João Antunes, Marcos Aurélio Domingues, Solange O. Rezende

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Transforming Geo-Referenced Data in Contextual Information for Context-Aware Recommender Systems.

Igor André Santana, Abner Suniga, Juliano Donini, Camila Vaccari Sundermann, Solange Oliveira Rezende, Marcos Aurélio Domingues

Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

2017

Exploiting feature extraction techniques on users' reviews for movies recommendation.

Rafael Martins D'Addio, Marcos Aurélio Domingues, Marcelo G. Manzato

J. Braz. Comput. Soc., 2017

Exploiting geo-referenced data as contextual information into context-aware recommender systems.

Marcos Aurélio Domingues, Maria da Graça Campos Pimentel

Proceedings of the 36th International Conference of the Chilean Computer Science Society, 2017

2016

Mining unstructured content for recommender systems: an ensemble approach.

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

Inf. Retr. J., 2016

Privileged contextual information for context-aware recommender systems.

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Merley da Silva Conrado, Solange Oliveira Rezende

Expert Syst. Appl., 2016

Scalable Online Top-N Recommender Systems.

Alípio M. Jorge, João Vinagre, Marcos Aurélio Domingues, João Gama, Carlos Soares, Pawel Matuszyk, Myra Spiliopoulou

Proceedings of the E-Commerce and Web Technologies - 17th International Conference, 2016

2015

Combining Privileged Information to Improve Context-Aware Recommender Systems.

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

CoRR, 2015

A Platform for the Recommendation of Points of Interest in Brazilian Cities: Architecture and Case Study.

Marcos Aurélio Domingues, Thais Emanuele Santos, Raíza Hanada, Bruna C. R. Cunha, Solange Oliveira Rezende, Maria da Graça Campos Pimentel

Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

Applying multi-view based metadata in personalized ranking for recommender systems.

Marcos Aurélio Domingues, Camila Vaccari Sundermann, Flávio M. M. Barros, Marcelo G. Manzato, Maria G. C. Pimentel, Solange Oliveira Rezende

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014

A data warehouse to support web site automation.

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge, Solange Oliveira Rezende

J. Braz. Comput. Soc., 2014

Optimizing Personalized Ranking in Recommender Systems with Metadata Awareness.

Marcelo G. Manzato, Marcos Aurélio Domingues, Solange Oliveira Rezende

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Exploiting Text Mining Techniques for Contextual Recommendations.

Marcos Aurélio Domingues, Camila Vaccari Sundermann, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Improving Personalized Ranking in Recommender Systems with Multimodal Interactions.

Arthur F. Da Costa, Marcos Aurélio Domingues, Solange Oliveira Rezende, Marcelo G. Manzato

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Named entities as privileged information for hierarchical text clustering.

Roberta Akemi Sinoara, Camila Vaccari Sundermann, Ricardo M. Marcacini, Marcos Aurélio Domingues, Solange O. Rezende

Proceedings of the 18th International Database Engineering & Applications Symposium, 2014

Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach.

Ricardo Marcondes Marcacini, Marcos Aurélio Domingues, Eduardo R. Hruschka, Solange Oliveira Rezende

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback.

Marcelo Garcia Manzato, Marcos Aurélio Domingues, Ricardo Marcondes Marcacini, Solange Oliveira Rezende

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Using Contextual Information from Topic Hierarchies to Improve Context-Aware Recommender Systems.

Marcos Aurélio Domingues, Marcelo Garcia Manzato, Ricardo Marcondes Marcacini, Camila Vaccari Sundermann, Solange Oliveira Rezende

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Using Topic Hierarchies with Privileged Information to Improve Context-Aware Recommender Systems.

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

Using statistics, visualization and data mining for monitoring the quality of meta-data in web portals.

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge

Inf. Syst. E Bus. Manag., 2013

Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems.

Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares

Inf. Process. Manag., 2013

Combining usage and content in an online recommendation system for music in the Long Tail.

Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo

Int. J. Multim. Inf. Retr., 2013

Improving consensus clustering of texts using interactive feature selection.

Ricardo M. Marcacini, Marcos Aurélio Domingues, Solange Oliveira Rezende

Proceedings of the 22nd International World Wide Web Conference, 2013

The Impact of Context-Aware Recommender Systems on Music in the Long Tail.

Marcos Aurélio Domingues, Solange Oliveira Rezende

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

Combining usage and content in an online music recommendation system for music in the long-tail.

Marcos Aurélio Domingues, Fabien Gouyon, Alípio Mário Jorge, José Paulo Leal, João Vinagre, Luís Lemos, Mohamed Sordo

Proceedings of the 21st World Wide Web Conference, 2012

2011

Using Taxonomies to Facilitate the Analysis of the Association Rules

Marcos Aurélio Domingues, Solange Oliveira Rezende

CoRR, 2011

Using Contextual Information as Virtual Items on Top-N Recommender Systems

Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares

CoRR, 2011

Exploiting multidimensional data for web site automation.

Marcos Aurélio Domingues

AI Commun., 2011

Exploiting Additional Dimensions as Virtual Items on Top-N Recommender Systems.

Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares

Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

Three Current Issues In Music Autotagging.

Gonçalo Marques, Marcos Aurélio Domingues, Thibault Langlois, Fabien Gouyon

Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

2008

The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization.

Marcos Aurélio Domingues, Alípio Mário Jorge, Carlos Soares

Proceedings of the 2008 IEEE / WIC / ACM International Conference on Web Intelligence, 2008

An independent platform for the monitoring, analysis and adaptation of web sites.

Marcos Aurélio Domingues

Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

2007

Rapid Development of Web Interfaces to Heterogeneous Systems.

José Paulo Leal, Marcos Aurélio Domingues

Proceedings of the SOFSEM 2007: Theory and Practice of Computer Science, 2007

A Web Application for Mathematics Education.

Ana Paula Tomás, José Paulo Leal, Marcos Aurélio Domingues

Proceedings of the Advances in Web Based Learning, 2007

2006

A Web-Based System to Monitor the Quality of Meta-Data in Web Portals.

Marcos Aurélio Domingues, Carlos Soares, Alípio Mário Jorge

Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005

Monitoring the Quality of Meta-data in Web Portals Using Statistics, Visualization and Data Mining.

Carlos Soares, Alípio Mário Jorge, Marcos Aurélio Domingues

Proceedings of the Progress in Artificial Intelligence, 2005