Exploring temporal contexts for neighborhood-based models in session-based recommender systems (2019)
- Authors:
- USP affiliated authors: MANZATO, MARCELO GARCIA - ICMC ; DOMINGOS, GABRIEL BALTAZAR - ICMC ; RESENDE, IGOR LOVATTO - ICMC ; TAKATA, MATHEUS NAOTO SHIMURA - ICMC
- Unidade: ICMC
- DOI: 10.5753/webmedia_estendido.2019.8136
- Subjects: RECONHECIMENTO DE PADRÕES; WORLD WIDE WEB; MULTIMÍDIA INTERATIVA
- Keywords: session-based recommendation; contextual information; k-nearest neighbors
- Agências de fomento:
- Language: Português
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2019
- Source:
- Título do periódico: Anais estendidos
- ISSN: 2596-1683
- Conference titles: Simpósio Brasileiro de Sistemas Multimídia e Web - WebMedia
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
DOMINGOS, Gabriel Baltazar et al. Exploring temporal contexts for neighborhood-based models in session-based recommender systems. 2019, Anais.. Porto Alegre: SBC, 2019. Disponível em: https://doi.org/10.5753/webmedia_estendido.2019.8136. Acesso em: 23 abr. 2024. -
APA
Domingos, G. B., Lovatto, I., Takata, M., & Manzato, M. G. (2019). Exploring temporal contexts for neighborhood-based models in session-based recommender systems. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/webmedia_estendido.2019.8136 -
NLM
Domingos GB, Lovatto I, Takata M, Manzato MG. Exploring temporal contexts for neighborhood-based models in session-based recommender systems [Internet]. Anais estendidos. 2019 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.5753/webmedia_estendido.2019.8136 -
Vancouver
Domingos GB, Lovatto I, Takata M, Manzato MG. Exploring temporal contexts for neighborhood-based models in session-based recommender systems [Internet]. Anais estendidos. 2019 ;[citado 2024 abr. 23 ] Available from: https://doi.org/10.5753/webmedia_estendido.2019.8136 - Evaluation of Time-Aware Recommender Systems Techniques for Neighborhood- Based Models in Session-Based Recommendations
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- Uma arquitetura de personalização de conteúdo baseada em anotações do usuário
- Similarity-based matrix factorization for item cold-start in recommender systems
- Combining multiple metadata types in movies recommendation using ensemble algorithms
- Exploiting multimodal interactions in recommender systems with ensemble algorithms
- Case recommender: a recommender framework
- Extended recommendation-by-explanation
- gSVD++: supporting implicit feedback on recommender systems with metadata awareness
- Metadata in movies recommendation: a comparison among different approaches
Informações sobre o DOI: 10.5753/webmedia_estendido.2019.8136 (Fonte: oaDOI API)
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