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Big data recommender systems: algorithms, architectures, big data, security and trust, volume 1
This book combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, c...
| Autores principales: | , , |
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| Lenguaje: | eng |
| Publicado: |
Institution of Engineering & Technology
2019
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/2760925 |
| Sumario: | This book combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools. |
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