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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Intelligent Course Recommendation: A Hybrid Deep Learning Perspective

Intelligent Course Recommendation: A Hybrid Deep Learning Perspective

Paperback

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ISBN10: 6208440963
ISBN13: 9786208440961
Publisher: LAP Lambert Academic Publishing
Published: Apr 24 2025
Pages: 64
Weight: 0.22
Height: 0.15 Width: 6.00 Depth: 9.00
Language: English
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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Kolli, Chandra Sekhar

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