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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 3031425588 ISBN 13: 9783031425585
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). It presents the success of using deep learning techniques in many SBRS applications from different perspectives. For this purpose, the concepts and fundamentals of SBRS are fully elaborated, and different deep learning techniques focusing on the development of SBRS are studied.The book is well-modularized, and each chapter can be read in a stand-alone manner based on individual interests and needs. In the first chapter of the book, definitions and concepts related to SBRS are reviewed, and a taxonomy of different SBRS approaches is presented, where the characteristics and applications of each class are discussed separately. The second chapter starts with the basic concepts of deep learning and the characteristics of each model. Then, each deep learning model, along with its architecture and mathematical foundations, is introduced. Next, chapter 3 analyses different approaches of deep discriminative models in session-based recommender systems. In the fourth chapter, session-based recommender systems that benefit from deep generative neural networks are discussed. Subsequently, chapter 5 discusses session-based recommender systems using advanced/hybrid deep learning models. Eventually, chapter 6 reviews different learning-to-rank methods focusing on information retrieval and recommender system domains. Finally, the results of the investigations and findings from the research review conducted throughout the book are presented in a conclusive summary.This book aims at researchers who intend to use deep learning models to solve the challenges related to SBRS. The target audience includes researchers entering the field, graduate students specializing in recommender systems, web data mining, information retrieval, or machine/deep learning, and advanced industry developers working on recommender systems. This book focuses on the widespread use of deep neural networks and their various techniques in session-based recommender systems (SBRS). Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031425588 ISBN 13: 9783031425585
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 320 pages. 9.25x6.10x9.21 inches. In Stock.
Published by Springer Nature Switzerland, 2023
ISBN 10: 3031425588 ISBN 13: 9783031425585
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Elaborates concepts and fundamentals of session-based recommender systemsPresents the usage of using deep learning techniques in session-based recommender systems from different perspectivesAims at researchers, graduate students, and develo.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Seller: Majestic Books, Hounslow, United Kingdom
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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