Music Recommendation System Based on Big Data and Machine Learning Algorithm

To optimize a music recommendation system, advanced algorithms and big data methods were used. The optimization was conducted to solve the cold-start problem and bias and improve accuracy and user satisfaction. By incorporating machine learning in the optimization, the music recommendation system ha...

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Bibliographic Details
Published in2024 IEEE 4th International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB) pp. 535 - 538
Main Author Shuxuan, Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 19.04.2024
Subjects
Accuracy
Big Data
deep learning
Internet of Things
Machine learning
Machine learning algorithms
music recommendation system
optimization
Optimization methods
Scalability
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Summary:To optimize a music recommendation system, advanced algorithms and big data methods were used. The optimization was conducted to solve the cold-start problem and bias and improve accuracy and user satisfaction. By incorporating machine learning in the optimization, the music recommendation system has better performance. Performance reports were created to show accuracy and user satisfaction. The optimization method can be used to provide recommendations and user incentives.
DOI:10.1109/ICEIB61477.2024.10602611