Intelligent Course Recommendation: A Hybrid Deep Learning Perspective: Innovative Strategies for AI-Driven Academic Guidance

Kolli, Chandra Sekhar; Vadisena, Venkata Krishna Reddy; Gottala, A K S Rajeev Kumar

ISBN 10: 6208440963 / ISBN 13: 9786208440961

Published by LAP LAMBERT Academic Publishing, 2025

About this Item

Seller Inventory # I-9786208440961

Bibliographic Details

• Title: Intelligent Course Recommendation: A Hybrid Deep Learning Perspective: Innovative Strategies for AI-Driven Academic Guidance
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2025
• Language: English
• ISBN 10: 6208440963
• ISBN 13: 9786208440961
• Binding: Soft cover
• Condition: New

About this title

Synopsis

In an era where educational choices can overwhelm students, HHFHNet emerges as a groundbreaking solution for precise course recommendations. This comprehensive guide introduces readers to the innovative Hybrid HAN HDLTex Forward Harmonic Net (HHFHNet) architecture, a sophisticated system that combines the power of Hierarchical Attention Networks (HAN) and Hierarchical Deep Learning for Texts (HDLTex). Through detailed exploration of Term Frequency-Inverse Document Frequency (TF-IDF), ranking-based recommendations, and Explainable Artificial Intelligence (XAI), readers will master the intricacies of building intelligent course recommendation systems. The book presents a novel approach to educational guidance, incorporating content-based filtering, collaborative filtering, and hybrid methods to address the challenging cold-start problem. Whether you're an AI researcher, educational technologist, or academic institution developer, this essential resource provides the theoretical foundation and practical implementation strategies needed to revolutionize course selection processes.