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Design and Implementation of Music Recommendation System Based on Hadoop Cover

Design and Implementation of Music Recommendation System Based on Hadoop

International Journal of Advanced Network, Monitoring and Controls
Volume 3 (2018): Issue 2 (January 2018)
By: Zhao Yufeng and  Li Xinwei  
Open Access
|May 2018

Figures & Tables

Figure 1.

Distributed recommended algorithm flow
Distributed recommended algorithm flow

Figure 2.

Recommended system architecture
Recommended system architecture

Figure 3.

Recommended system function block diagram
Recommended system function block diagram

Figure 4.

Distributed k-means clustering algorithm architecture
Distributed k-means clustering algorithm architecture

Figure 5.

Distributed architecture based on user collaborative filtering algorithm
Distributed architecture based on user collaborative filtering algorithm

Figure 6.

Android mobile music recommended results
Android mobile music recommended results

Figure 7.

The change of precision with K value
The change of precision with K value

Figure 8.

The change chart of recall with K value
The change chart of recall with K value
DOI: https://doi.org/10.21307/ijanmc-2018-045 | Journal eISSN: 2470-8038
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Language: English
Page range: 126 - 132
Published on: May 7, 2018
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Music Recommendation,
K-means Clustering,
Collaborative Filtering,
Recommendation Algorithm,
Hadoop
Related subjects:
Computer sciences,
Computer sciences, other

© 2018 Zhao Yufeng, Li Xinwei, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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