Using Opinion Mining in Context-Aware Recommender Systems: A Systematic Review von Sundermann, Camila, Domingues, Marcos, Sinoara, Roberta, Marcacini, Ricardo, Rezende , Solange

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Mining unstructured content for recommender systems: an ensemble approach von Manzato, Marcelo G., Domingues, Marcos A., Fortes, Arthur C., Sundermann, Camila V., D’Addio, Rafael M., Conrado, Merley S., Rezende, Solange O., Pimentel, Maria G. C.

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A context‐aware recommender method based on text and opinion mining von Sundermann, Camila Vaccari, Padua, Renan, Tonon, Vítor Rodrigues, Marcacini, Ricardo Marcondes, Domingues, Marcos Aurélio, Rezende, Solange Oliveira

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Latent association rule cluster based model to extract topics for classification and recommendation applications von dos Santos, Fabiano Fernandes, Domingues, Marcos Aurélio, Sundermann, Camila Vaccari, de Carvalho, Veronica Oliveira, Moura, Maria Fernanda, Rezende, Solange Oliveira

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Privileged contextual information for context-aware recommender systems von Sundermann, Camila Vaccari, Domingues, Marcos Aurélio, Conrado, Merley da Silva, Rezende, Solange Oliveira

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A Context-Aware Recommender Method Based on Text Mining von Sundermann, Camila Vaccari, de Pádua, Renan, Tonon, Vítor Rodrigues, Domingues, Marcos Aurélio, Rezende, Solange Oliveira

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Combining Privileged Information to Improve Context-Aware Recommender Systems von Sundermann, Camila V, Domingues, Marcos A, Marcacini, Ricardo M, Rezende, Solange O

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Combining Privileged Information to Improve Context-Aware Recommender Systems von Sundermann, Camila V, Domingues, Marcos A, Marcacini, Ricardo M, Rezende, Solange O

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