Machine learning paradigms : applications in recommender systems / Aristomenis S. Lampropoulos, George A. Tsihrintzis.
Tipo de material:
TextoSeries Intelligent Systems Reference Library ; 92Editor: Cham : Springer International Publishing : Springer, 2015Descripción: xv, 125 páginas : 32 ilustraciones, 6 ilustraciones en colorTipo de contenido: - texto
- computadora
- recurso en línea
- 9783319191355
- Q342
Contenidos:
Introduction -- Review of Previous Work Related to Recommender Systems -- The Learning Problem.-Content Description of Multimedia Data -- Similarity Measures for Recommendations based on Objective Feature Subset Selection -- Cascade Recommendation Methods -- Evaluation of Cascade Recommendation Methods -- Conclusions and Future Work.
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Introduction -- Review of Previous Work Related to Recommender Systems -- The Learning Problem.-Content Description of Multimedia Data -- Similarity Measures for Recommendations based on Objective Feature Subset Selection -- Cascade Recommendation Methods -- Evaluation of Cascade Recommendation Methods -- Conclusions and Future Work.
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