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Author:   Pethuru Raj Chelliah (Reliance Jio Platforms Ltd., Bangalore, India) ,  E. Chandra Blessie (Coimbatore Institute of Technology, India) ,  B. Sundaravadivazhagan (University of Technology and Applied Sciences Al Mussanah, Oman) ,  Preetha Evangeline
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
ISBN:  

9781394351541

ISBN 10:   1394351542
Pages:   640
Publication Date:   17 April 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Awaiting stock  
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Table of Contents

About the Editors xxxii List of Contributors xxxiv 1 Describing Decisive Digital Transformation Technologies and Tools 1 Mamta 2 Delineating the Big Data Era and the Information Overload Problem 21 Sreekumar Vobugari and Shaurya Jauhari 3 Expounding Collaborative Filtering-Based Recommendation System 47 B. Sri Bhavan Prakath, B. Senthilkumar, and M. Sujithra 4 Illuminating Knowledge Graph–Based Recommendation Solutions 69 B. Rajalingam, A. Ruba, and N. Balasubramanian 5 Next Level Recommendation Systems: Harnessing the Power of GANs 97 Gnanasankaran Natarajan, Susai Rathinam Raja, Devika Govindhan, and Rakesh Gnanasekaran 6 Graph Neural Networks in Recommendation Systems for Superior User Experiences 121 Priyansha Upadhyay and P.K. Nizar Banu 7 Generative AI for Next Generation Recommendation System 151 Sunil Sharma, Sandip Das, Yashwant Singh Rawal, and Prashant Sharma 8 MindGraphFusion Method to Enhance Multi-Behavior Recommendation System for Cognitive Decision 175 D. Mythili and S. Rajasekaran 9 Generative AI for Next-Generation Recommender Systems: Architectures, Applications, and Future Directions 201 Shaik Valli Haseena and Neha Jaswani 10 Bayesian Networks (BNs) for Recommendation Systems 225 Ketan Sarvakar, Kaushik Rana, and Chandrakant Patel 11 Diffusion Models–Based Recommendation Systems 253 Elakkiya Elango, Sundaravadivazhagan Balasubaramanian, Shreenidhi Krishnamurthy Subramaniyan, and Harishchander Anandaram 12 Deep Learning for Personalized Recommendations: Overcoming Traditional Challenges 271 Beena Suresh Gaikwad, Jitha Janardhanan, and Arghya Das Dev 13 Dual-Stream Context-Aware GANs for Next-Generation Recommendation Systems 303 Vankayala Chethan Prakash, Raveendranadh Bokka, Aruchamy Prasanth, and Mariya Ouaissa 14 Revolutionizing Recommendations with LLMs: Intelligent, Adaptive, and Context-Aware Systems 337 M.K. Vidhyalakshmi, A.V. Allin Geo, Aswathy K. Cherian, and Sundaravadivazhagan Balasubaramanian 15 Evaluating Recommendation Algorithms: A Case Study on Online News Platforms 363 Alvin Nishant, J Alamelu Mangai, Mohammadi Akheela Khanum, and B Meenu 16 Recommendation Systems: Applications, Challenges, Ethics, and Future Directions 385 Elakkiya Elango, Gnanasankaran Natarajan, Harishchander Anandaram, and Shreenidhi Krishnamurthy Subramaniyan 17 Beyond Prediction: Generative AI as the Engine of Future Recommender Systems 407 Balan Senthilkumaran, Karthikeyan Sowndarya, N. Mahendran, and Pham Chien Thang 18 Enhanced Heart Disease Prediction using GANLSTM and GANSWOT – Augmented Data and Machine Learning 427 Ritu Aggarwal and Eshaan Aggarwal 19 AI-Powered Recommendation System for Intelligent Lesson Planning 447 Kanagaraj Karuppiah 20 Graph Neural Networks for Enhanced Customer Segmentation in Next-Generation Recommendation Systems 465 Nandhini Citibabu and Ayyanathan Natarajan 21 Intelligent Recommendation Systems: Bridging Next-Gen AI, Knowledge Engineering, and User-Centric Innovation 487 Gaganpreet Kaur, Amandeep Kaur, Ramandeep Sandhu, Astha jain, Indu Rani, and Deepika Ghai 22 Navigating Big Data: From Volume to Value in Next-Gen Recommendation Systems 509 N. Balasubramanian, A. Ruba, B. Rajalingam, and A. Manjula 23 Architectures, Advancements, and Real-World Implementations of Deep Learning-Based Recommendation Systems 543 S. Janani, Rajendran Bhojan, and R. Kumuthaveni 24 Deep Learning for Recommender Systems: A Comparative Analysis of RNN, LSTM, and GRU on MovieLens and Educational Data 571 Hasna Mahmoud, Es-said Boulmane, Mohamed Badouch, Omar Zaioudi, Mohamed Ouhssini, and Mehdi Boutaounte References 587 Index 591

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Author Information

PETHURU RAJ CHELLIAH, PhD, is Principal AI Architect in Infocion Inc., Bangalore E. CHANDRA BLESSIE, PhD, is an Associate Professor in the Department of Computing (Artificial et al.) at the Coimbatore Institute of Technology. B. SUNDARAVADIVAZHAGAN, PhD, is an information and communications engineering researcher and educator. PREETHA EVANGELINE, PhD, is an experienced educator and expert in data structures, operating systems, and high-performance computing.

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