Camila Vaccari Sundermann

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

Fabiano Fernandes dos Santos, Marcos Aurélio Domingues, Camila Vaccari Sundermann et al. · Expert Systems with Applications · 2018 · 24 citations · Full text

Natural Language Processing, Document Clustering, Computational Social Science +14

Privileged contextual information for context-aware recommender systems

Camila Vaccari Sundermann, Marcos Aurélio Domingues, Merley da Silva Conrado et al. · Expert Systems with Applications · 2016 · 23 citations · Full text

Group Recommenders, Engineering, Information Retrieval +6

Named entities as privileged information for hierarchical text clustering

Roberta Akemi Sinoara, Camila Vaccari Sundermann, Ricardo Marcondes Marcacini et al. · 2014 · 19 citations

Engineering, Semantic Web, Corpus Linguistics +18

Exploiting Text Mining Techniques for Contextual Recommendations

Marcos Aurélio Domingues, Camila Vaccari Sundermann, Marcelo Garcia Manzato et al. · 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) · 2014 · 19 citations

Natural Language Processing, Recommendation Process, Group Recommenders +15

Mining unstructured content for recommender systems: an ensemble approach

Marcelo Garcia Manzato, Marcos Aurélio Domingues, Arthur C. Fortes et al. · Information Retrieval · 2016 · 15 citations · Full text

Group Recommenders, Engineering, Information Retrieval +10