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Machine learning paradigms: applications in recommender systems
This timely book presents Applications in Recommender Systems which are making recommendations using machine learning algorithms trained via examples of content the user likes or dislikes. Recommender systems built on the assumption of availability of both positive and negative examples do not perfo...
| Autores principales: | , |
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| Lenguaje: | eng |
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Springer
2015
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-19135-5 http://cds.cern.ch/record/2032315 |