An exploration of recommender systems explanation paradigms: generating and evaluating syntactic, semantic, and generative models with knowledge graphs : an extended abstract (2025)
- Authors:
- Autor USP: MANZATO, MARCELO GARCIA - ICMC
- Unidade: ICMC
- DOI: 10.5753/webmedia_estendido.2025.16351
- Subjects: SISTEMAS DE RECOMENDAÇÃO; RECONHECIMENTO DE PADRÕES; APRENDIZADO COMPUTACIONAL
- Keywords: Recommender Systems; Explanation; Explanation Evaluation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2025
- Source:
- Título: Anais estendidos
- ISSN: 2596-1683
- Conference titles: Simpósio Brasileiro de Sistemas Multimídia e Web - WebMedia
- Este artigo possui versão em acesso aberto
- URL de acesso aberto
- PDF de acesso aberto
- Versão do Documento: Versão publicada (Published version)
-
Status: Artigo publicado em periódico de acesso aberto (Gold Open Access) -
ABNT
ZANON, André Levi e ROCHA, Leonardo Chaves Dutra da e MANZATO, Marcelo Garcia. An exploration of recommender systems explanation paradigms: generating and evaluating syntactic, semantic, and generative models with knowledge graphs : an extended abstract. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/webmedia_estendido.2025.16351. Acesso em: 14 mar. 2026. -
APA
Zanon, A. L., Rocha, L. C. D. da, & Manzato, M. G. (2025). An exploration of recommender systems explanation paradigms: generating and evaluating syntactic, semantic, and generative models with knowledge graphs : an extended abstract. In Anais estendidos. Porto Alegre: SBC. doi:10.5753/webmedia_estendido.2025.16351 -
NLM
Zanon AL, Rocha LCD da, Manzato MG. An exploration of recommender systems explanation paradigms: generating and evaluating syntactic, semantic, and generative models with knowledge graphs : an extended abstract [Internet]. Anais estendidos. 2025 ;[citado 2026 mar. 14 ] Available from: https://doi.org/10.5753/webmedia_estendido.2025.16351 -
Vancouver
Zanon AL, Rocha LCD da, Manzato MG. An exploration of recommender systems explanation paradigms: generating and evaluating syntactic, semantic, and generative models with knowledge graphs : an extended abstract [Internet]. Anais estendidos. 2025 ;[citado 2026 mar. 14 ] Available from: https://doi.org/10.5753/webmedia_estendido.2025.16351 - Metadata in movies recommendation: a comparison among different approaches
- gSVD++: supporting implicit feedback on recommender systems with metadata awareness
- A collaborative filtering approach based on user's reviews
- Multimodal interactions in recommender systems: an ensembling approach
- 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
- Personalized ranking of movies: evaluating different metadata types and recommendation strategies
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