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: Anais estendidos
- ISSN: 2596-1683
- Conference titles: Simpósio Brasileiro de Sistemas Multimídia e Web - WebMedia
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 24 jan. 2026. -
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 2026 jan. 24 ] 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 2026 jan. 24 ] 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
- Exploiting feature extraction techniques on users' reviews for movies recommendation
- Exploiting item representations for soft clustering recommendation
- Combining different metadata views for better recommendation accuracy
- CoBaR: confidence-based recommender
- Ensemble learning in recommender systems: combining multiple user interactions for ranking personalization
- Evaluating the combination of multiple metadata types in movies recommendation
- Semantic organization of user's reviews applied in recommender systems
- An exploration of recommender systems explanation paradigms: generating and evaluating syntactic, semantic, and generative models with knowledge graphs : an extended abstract
- Personalized ranking of movies: evaluating different metadata types and recommendation strategies
Informações sobre o DOI: 10.5753/webmedia_estendido.2019.8136 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
2968632.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
