Session-Based Recommender Systems Using Deep Learning

The book "Session-Based Recommender Systems Using Deep Learning" offers a comprehensive analysis of the application of deep neural networks in session-based recommender systems (SBRS). It highlights the successes and challenges associated with implementing deep learning techniques in various SBRS applications. The authors, Rezvan Mohamadrezaei and Reza Ravanmehr, explain the fundamental concepts and principles of SBRS and examine the different deep learning techniques relevant to their development. The modular structure of the book allows readers to explore the chapters independently, based on their individual interests and needs. Each chapter addresses specific aspects of SBRS and the underlying deep learning models, ranging from basic definitions to advanced hybrid models and learning methods.