Investigação de abordagens híbridas para sistemas de recomendação implícitos
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Universidade Federal de São Carlos
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This project deals with the investigation of implicit recommender systems, in relation to the accuracy and versatility of the systems, and of the hybridization as a tool to improve these performance metrics. Databases of users's musical habits where used.
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SILVA, Jonathan Gouvea da. Investigação de abordagens híbridas para sistemas de recomendação implícitos. 2020. Trabalho de Conclusão de Curso (Graduação em Engenharia de Computação) – Universidade Federal de São Carlos, Campus São Carlos, 2020. Disponível em: https://repositorio.ufscar.br/handle/20.500.14289/13690.
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Brazil