Implementing and Analyzing Behaviour of ML based Tamil Songs Recommendation System-Reference-Cited by-同舟云学术

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Implementing and Analyzing Behaviour of ML based Tamil Songs Recommendation System

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
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Author:

Garg Shalini¹,Pooja ²,Chaoudhary Shailee Lohmor³,Dixit Rinku³,Govil Nikhil⁴

Affiliation:

1. Design and Technology University,MIT Art,Pune,MH,India

2. Galgotias University, Gr. Noida,School of CSE,Delhi - NCR,India

3. New Delhi Institute of Management,Department of AIML – Data Science,New Delhi,India

4. GLA University,Department of Computer Engineering & Applications,Mathura,U.P.,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10104520/10104522/10104744.pdf?arnumber=10104744

Reference24 articles.

1. A music recommendation system;kodama;2005 Digest of Technical Papers International Conference on Consumer Electronics 2005 ICCE,2005

2. A Hybrid System Based on Dynamic Selection for Time Series Forecasting

3. Content-based Music Recommendation System

4. A Deep Convolutional Neural Network Model for Improving WRF Simulations

5. Music Recommendation System and Recommendation Model Based on Convolutional Neural Network

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting Song Likability: A Regression Approach Using User Demographics and Qualitative Feedback;2023 2nd International Conference on Futuristic Technologies (INCOFT);2023-11-24

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