Recommender Systems Multi Disciplinary Approach (18 results)
Recommender Systems : A Multi-disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2024
- Softcover
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Recommender Systems : A Multi-disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2024
- Softcover
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Recommender Systems : A Multi-disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2024
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by CRC Press, 2024
- Softcover
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Language: English
Published by CRC Press, 2024
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Recommender Systems : A Multi-disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2024
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Taylor & Francis Ltd, 2024
- Softcover
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Language: English
Published by CRC Press, 2024
- Softcover
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Recommender Systems: A Multi-Disciplinary Approach (Intelligent Systems)
Roy, Monideepa (Editor)/ Kar, Pushpendu (Editor)/ Datta, Sujoy (Editor)
Language: English
Published by CRC Press, 2024
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 278 pages. 9.18x6.12x9.21 inches. In Stock.
More imagesLanguage: English
Published by CRC Press, 2024
- Softcover
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Taschenbuch. Condition: Neu. Recommender Systems | A Multi-Disciplinary Approach | Monideepa Roy (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2024 | CRC Press | EAN 9781032333229 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com… | Anbieter: preigu.
Recommender Systems : A Multi-Disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2023
- Hardcover
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Recommender Systems : A Multi-Disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2023
- Hardcover
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Recommender Systems : A Multi-Disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2023
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Recommender Systems : A Multi-Disciplinary Approach
Roy, Monideepa (EDT); Kar, Pushpendu (EDT); Datta, Sujoy (EDT)
Language: English
Published by CRC Press, 2023
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Language: English
Published by Taylor & Francis Ltd, 2023
- Hardcover
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Recommender Systems: A Multi-Disciplinary Approach
Roy, Monideepa (Editor)/ Kar, Pushpendu (Editor)/ Datta, Sujoy (Editor)
Language: English
Published by CRC Pr I Llc, 2023
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Recommender Systems: A Multi-Disciplinary Approach (Intelligent Systems)
Roy, Monideepa (Editor)/ Kar, Pushpendu (Editor)/ Datta, Sujoy (Editor)
Language: English
Published by CRC Press, 2024
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 278 pages. 9.18x6.12x9.21 inches. In Stock. This item is printed on demand.
Language: English
Published by CRC Press, 2024
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains different types of pertinent algorithms with their comparative analysis and their role for…different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of machine learning and artificial networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data. Features of this book:Identifies and describes recommender systems for practical usesDescribes how to design, train, and evaluate a recommendation algorithmExplains migration from a recommendation model to a live system with usersDescribes utilization of the data collected from a recommender system to understand the user preferencesAddresses the security aspects and ways to deal with possible attacks to build a robust systemThis book is aimed at researchers and graduate students in computer science, electronics and communication engineering, mathematical science, and data science.
