C. V. Sundermann

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

Maria Fernanda Moura, Marcos Aurélio Domingues, Solange Oliveira Rezende, 2018, Expert Syst. Appl..

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

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2019, Inf..

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

Marcos Aurélio Domingues, Solange Oliveira Rezende, Camila Vaccari Sundermann, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Privileged contextual information for context-aware recommender systems

Marcos Aurélio Domingues, Solange Oliveira Rezende, Camila Vaccari Sundermann, 2016, Expert Syst. Appl..

Combining Privileged Information to Improve Context-Aware Recommender Systems pdf

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2015, ArXiv.

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

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2014, 2014 Brazilian Conference on Intelligent Systems.

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

Marcelo G. Manzato, Marcos Aurélio Domingues, Ricardo M. Marcacini, 2014, 2014 22nd International Conference on Pattern Recognition.

Exploiting Text Mining Techniques for Contextual Recommendations

Marcelo G. Manzato, Marcos Aurélio Domingues, Ricardo M. Marcacini, 2014, 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT).

Mining unstructured content for recommender systems: an ensemble approach

M. A. Domingues, M. Manzato, M. G. Pimentel, 2016, Information Retrieval Journal.

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

Marcos Aurélio Domingues, Solange Oliveira Rezende, João Antunes, 2018, 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI).

Named entities as privileged information for hierarchical text clustering

Marcos Aurélio Domingues, Ricardo M. Marcacini, Solange Oliveira Rezende, 2014, IDEAS.