Session-Based Recommender Systems Using Deep Learning (PDF)
- Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
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 3analyses 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.Rezvan Mohamadrezaei is currently a Ph.D. candidate in software systems at Central Tehran Branch, Islamic Azad University. Her current research interests are in the areas of deep learning, recommender systems, and information retrieval. She has been a faculty member of the Computer Engineering Department at Karoon Institute of Higher Education, Ahvaz, since 2013.
- Autoren: Reza Ravanmehr , Rezvan Mohamadrezaei
- 2023, 1st ed. 2024, 301 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3031425596
- ISBN-13: 9783031425592
- Erscheinungsdatum: 20.12.2023
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Grösse: 28 MB
- Ohne Kopierschutz
- Vorlesefunktion
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Session-Based Recommender Systems Using Deep Learning".
Kommentar verfassen