Comparative Analysis of Different Approaches to the Music Recommendation System-Reference-Cited by-同舟云学术

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Comparative Analysis of Different Approaches to the Music Recommendation System

Published:2023-01-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Computer Communication and Informatics (ICCCI)
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Author:

Nagaraj P¹,Muneeswaran V²,Mohith Kumar B³,Rama Krishna Rao K³,Nagaraju Mothukuri Siva³,Kumar Mandadi Venakata Hemanth³

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Krishnankoil,Virudhunagar,India

2. Kalasalingam Academy of Research and Education,Department of Electronics and Communication Engineering,Krishnankoil,Virudhunagar,India

3. Kalasalingam academy of research and education,Department of computer science and engineering,Virudhunagar,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10128170/10128171/10128645.pdf?arnumber=10128645

Reference58 articles.

1. AI based Music Recommendation system using Deep Learning Algorithms

2. Tobacco Plant Disease Detection and Classification using Deep Convolutional Neural Networks;kumar;In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS),2022

3. Session-Based Collaborative Filtering for Predicting the Next Song

4. A Systematic Parking System Using bi-class Machine Learning Techniques;sunethra;In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS),2022

5. Deep Neural Networks for YouTube Recommendations

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