Exploration of word embedding model to improve context-aware recommender systems

Exploration of word embedding model to improve context-aware recommender systems (2018)

Authors:
Autor USP: REZENDE, SOLANGE OLIVEIRA - ICMC
Unidade: ICMC
DOI: 10.1109/WI.2018.00-64
Subjects: SISTEMAS DE INFORMAÇÃO; RECONHECIMENTO DE TEXTO; MINERAÇÃO DE DADOS
Keywords: Context-Aware Recommender Systems; Word Embedding Model; Text Mining
Agências de fomento:
Language: Inglês
Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2018
Source:
- Título: Proceedings
Conference titles: IEEE/WIC/ACM International Conference on Web Intelligence - WI

Informações sobre o DOI: 10.1109/WI.2018.00-64 (Fonte: oaDOI API)

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ABNT

SUNDERMANN, Camila Vaccari et al. Exploration of word embedding model to improve context-aware recommender systems. 2018, Anais.. Los Alamitos: IEEE, 2018. Disponível em: https://doi.org/10.1109/WI.2018.00-64. Acesso em: 10 jan. 2026.
APA

Sundermann, C. V., Antunes, J., Domingues, M. A., & Rezende, S. O. (2018). Exploration of word embedding model to improve context-aware recommender systems. In Proceedings. Los Alamitos: IEEE. doi:10.1109/WI.2018.00-64
NLM

Sundermann CV, Antunes J, Domingues MA, Rezende SO. Exploration of word embedding model to improve context-aware recommender systems [Internet]. Proceedings. 2018 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/WI.2018.00-64
Vancouver

Sundermann CV, Antunes J, Domingues MA, Rezende SO. Exploration of word embedding model to improve context-aware recommender systems [Internet]. Proceedings. 2018 ;[citado 2026 jan. 10 ] Available from: https://doi.org/10.1109/WI.2018.00-64