التفاصيل البيبلوغرافية
| العنوان: |
Integrando avaliações contrafactuais aos frameworks tradicionais de recomendaçao interativa. (Portuguese) |
| المؤلفون: |
Andrade, Yan, Silva, Nícollas, Rocha, Leonardo |
| المصدر: |
Revista Eletrônica de Iniciação Científica; 2023, Vol. 21 Issue 2, p11-20, 10p |
| Abstract (English): |
Online recommendation task has been recognized as a Multi-Armed Bandit (MAB) problem. Despite the recent advances, there is still a lack of consensus on the best practices to evaluate such bandit solutions. Recently, we observed two complementary frameworks that allow us to evaluate bandit solutions more accurately: iRec and OBP. The first has a complete set of datasets, metrics and MAB models implemented, allowing only offline evaluations of these solutions. However, the second is limited to a few bandit solutions with more current metrics and methodologies, such as counterfactuals. In this work, we propose and evaluate an integration between these two frameworks, demonstrating the potential and richness of analyzes that can be carried out from this combination. [ABSTRACT FROM AUTHOR] |
| Abstract (Portuguese): |
A tarefa de recomendação online vem sendo reconhecida como um problema de Multi-Armed Bandit (MAB). Apesar dos avantços recentes, ainda ha falta de consenso sobre as melhores praticas para avaliar essas solucoes. Recentemente, observamos dois frameworks complementares que nos permitem avaliar solu<ções bandit com mais precisão: iRec e OBP. A primeira possui um conjunto completo de colecoes de dados, métricas e modelos MAB implementados, permitindo apenas avaliações offline. Ja o segundo se limita a algumas solucoes bandit, porem com metricas e metodologias mais atuais, como os contrafactuais. Neste trabalho, propomos e avaliamos uma integracao entre esses dois frameworks, demonstrando o potencial e a riqueza de analises que podem ser realizadas a partir dessa combinacao. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |
