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Profiting from Several Recommendation Algorithms Using a Scalable Approach
This chapter proposes the use of a scalable platform to run a complex recommendation system. We focus on a system made up of several recommendation algorithms which are run as an offline process. This offline process generates user profiles that represent which algorithm should provide the recommend...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2017
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-44003-3_14 http://cds.cern.ch/record/2318773 |