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

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

 
9786208440961: Intelligent Course Recommendation: A Hybrid Deep Learning Perspective: Innovative Strategies for AI-Driven Academic Guidance
Softcover
ISBN 10: 6208440963 ISBN 13: 9786208440961
Verlag: LAP LAMBERT Academic Publishing, 2025

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

Dr. Chandra Sekhar Kolli is an accomplished academician and currently working as Associate Professor at Aditya University, Surampalem, Andhra Pradesh. His research concentrates on predictive analytics, privacy-preserving techniques, machine learning, and deep learning for domain-specific challenges. He has 40 indexed publications.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 10 
6208440963
ISBN 13 
9786208440961
Einband
Taschenbuch
Anzahl der Seiten
64
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Fastbook Publishing
customerservice@vdm-vsg.de

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Riga
1039
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