Research on the Development Strategy of NetEase Cloud Music Based on Decision Tree Algorithm
Dianjin Yang
Journal of Digital Information Management, Vol. 22, No. 4, 2024.
DOI: https://10.6025/jdim/2024/22/4/117-123
Link: https://www.dline.info/fpaper/jdim/v22i4/jdimv22i4_1.pdf
Abstract:
With the rapid development of the internet
and digital music, competition among music platforms
has become intense. This study focuses on NetEase
Cloud Music and proposes a development strategy based
on the decision tree algorithm. By collecting user behavior
data and constructing decision tree models, the study
predicts user preferences and needs, providing personalized
recommendations and services on the music platform.
Experimental results of this strategy show that it
effectively improves user satisfaction and platform profitability.
Compared to traditional recommendation algorithms,
the decision tree algorithm exhibits better interpretability
and accuracy, enabling a deeper understanding
of user preferences and behavior patterns, thus providing
more precise content recommendations. This innovative
development strategy for music platforms helps
better meet user demands, achieve sustained growth, and
gain competitive advantages.