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Big data recommender systems: application paradigms
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/2716519 |
_version_ | 1780965472995377152 |
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author | Khalid, Osman Khan, Samee U Zomaya, Albert Y |
author_facet | Khalid, Osman Khan, Samee U Zomaya, Albert Y |
author_sort | Khalid, Osman |
collection | CERN |
description | 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. |
id | cern-2716519 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Institution of Engineering & Technology |
record_format | invenio |
spelling | cern-27165192021-04-21T18:08:58Zhttp://cds.cern.ch/record/2716519engKhalid, OsmanKhan, Samee UZomaya, Albert YBig data recommender systems: application paradigmsComputing and ComputersThis 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.Institution of Engineering & Technologyoai:cds.cern.ch:27165192019 |
spellingShingle | Computing and Computers Khalid, Osman Khan, Samee U Zomaya, Albert Y Big data recommender systems: application paradigms |
title | Big data recommender systems: application paradigms |
title_full | Big data recommender systems: application paradigms |
title_fullStr | Big data recommender systems: application paradigms |
title_full_unstemmed | Big data recommender systems: application paradigms |
title_short | Big data recommender systems: application paradigms |
title_sort | big data recommender systems: application paradigms |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2716519 |
work_keys_str_mv | AT khalidosman bigdatarecommendersystemsapplicationparadigms AT khansameeu bigdatarecommendersystemsapplicationparadigms AT zomayaalberty bigdatarecommendersystemsapplicationparadigms |