Can ofline metrics measure explanation goals?: A comparative survey analysis of ofline explanation metrics in recommender systems (2025)
- Authors:
- Autor USP: MANZATO, MARCELO GARCIA - ICMC
- Unidade: ICMC
- DOI: 10.1145/3779420
- Assunto: SISTEMAS DE RECOMENDAÇÃO
- Keywords: Explainability; Recommendation explanation; Evaluation; Recommendation evaluation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: ACM Transactions on Recommender Systems - TORS
- ISSN: 2770-6699
- Volume/Número/Paginação/Ano: In press
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
ZANON, André Levi e ROCHA, Leonardo Chaves Dutra da e MANZATO, Marcelo Garcia. Can ofline metrics measure explanation goals?: A comparative survey analysis of ofline explanation metrics in recommender systems. ACM Transactions on Recommender Systems - TORS, 2025Tradução . . Disponível em: https://doi.org/10.1145/3779420. Acesso em: 12 jan. 2026. -
APA
Zanon, A. L., Rocha, L. C. D. da, & Manzato, M. G. (2025). Can ofline metrics measure explanation goals?: A comparative survey analysis of ofline explanation metrics in recommender systems. ACM Transactions on Recommender Systems - TORS. doi:10.1145/3779420 -
NLM
Zanon AL, Rocha LCD da, Manzato MG. Can ofline metrics measure explanation goals?: A comparative survey analysis of ofline explanation metrics in recommender systems [Internet]. ACM Transactions on Recommender Systems - TORS. 2025 ;[citado 2026 jan. 12 ] Available from: https://doi.org/10.1145/3779420 -
Vancouver
Zanon AL, Rocha LCD da, Manzato MG. Can ofline metrics measure explanation goals?: A comparative survey analysis of ofline explanation metrics in recommender systems [Internet]. ACM Transactions on Recommender Systems - TORS. 2025 ;[citado 2026 jan. 12 ] Available from: https://doi.org/10.1145/3779420 - Extended recommendation-by-explanation
- 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
- Evaluating multiple user interactions for ranking personalization using ensemble methods
- Adaptação de vídeo ao vivo apoiada em informações de contexto
- Collaborative filtering based on semantic distance among items
- Discovering latent factors from movies genres for enhanced recommendation
- Classificação de revisões para construção de perfis em sistemas de recomendação
- The participation of IntermidiaLab at the ImageCLEF 2012 Photo Annotation Task
- Evaluating the combination of multiple metadata types in movies recommendation
Informações sobre o DOI: 10.1145/3779420 (Fonte: oaDOI API)
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