Enhancing Music Recommendation Accuracy with Hybrid Autoencoder, CNN and RNN Models

Surada, Anitha and Lakshmi, Yarra Veera Venkata and Sahithi, Neerukonda and Tanya, Dadi Bindu and Ganesh, Koppisetti Chandu Sai Venkata and Anuradha, Appala (2025) Enhancing Music Recommendation Accuracy with Hybrid Autoencoder, CNN and RNN Models. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II.

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Abstract

A hybrid model for user-item recommendation systems is proposed, combining the strengths of Matrix Factorization (MF) and Neural Collaborative Filtering (NCF). By integrating collaborative filtering techniques with deep learning models, specifically using Multi-Layer Perceptron (MLP) fusion, the mod

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 20:19
Last Modified: 16 Apr 2026 15:52
URI: http://eprints.eai.eu/id/eprint/60214

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