Music Recommendation Algorithm Based on Multidimensional Time-Series Model Analysis
This paper proposes a personalized music recommendation method based on multidimensional time-series analysis, which can improve the effect of music recommendation by using user’s midterm behavior reasonably. This method uses the theme model to express each song as the probability of belonging to se...
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Main Author: | |
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Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/5579086 |
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