Online book recommendation system
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Date
2025
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Computer Science and Engineering
Abstract
With the growing number of books, finding relevant content is challenging. We developed an Online Book Recommendation System using a hybrid approach combining contentbased and collaborative filtering, ensuring personalized and diverse recommendations.
