Camila Vaccari Sundermann

According to our database, Camila Vaccari Sundermann authored at least 14 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

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

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

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

2015

Combining Privileged Information to Improve Context-Aware Recommender Systems.

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

CoRR, 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

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

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

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