Personalized Book Recommendations: A Hybrid Approach Leveraging Collaborative Filtering, Association Rule Mining, and Content-Based Filtering

Bhajantri, Akash; K, Nagesh; Goudar, R. H.; M, Dhananjaya G; Kaliwal, Rohit.B.; Rathod, Vijayalaxmi; Kulkarni, Anjanabhargavi; K, Govindaraja

Personalized Book Recommendations: A Hybrid Approach Leveraging Collaborative Filtering, Association Rule Mining, and Content-Based Filtering

Bhajantri, Akash and K, Nagesh and Goudar, R. H. and M, Dhananjaya G and Kaliwal, Rohit.B. and Rathod, Vijayalaxmi and Kulkarni, Anjanabhargavi and K, Govindaraja (2024) Personalized Book Recommendations: A Hybrid Approach Leveraging Collaborative Filtering, Association Rule Mining, and Content-Based Filtering. EAI Endorsed Transactions on Internet of Things.

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Abstract

Well over ten years already, recommender systems have been in use. Many people have perpetually grappled with synonymous with selecting what to read next. The choice of a textbook or reference book to read on a subject they are unaware of might be difficult for even students. Nowadays, people can go

Item Type:	Article
Date Deposited:	04 Mar 2026 18:15
Last Modified:	11 Apr 2026 00:09
URI:	http://eprints.eai.eu/id/eprint/51804

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