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.