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...
Saved in:
Main Author: | Juanjuan Shi |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/5579086 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Retracted: Music Recommendation Algorithm Based on Multidimensional Time-Series Model Analysis
by: null Complexity
Published: (2024-01-01) -
Multidimensional time series classification with multiple attention mechanism
by: Chen Liu, et al.
Published: (2024-11-01) -
Dynamic Modeling and Analysis of Multidimensional Hybrid Recommendation Algorithm in Tourism Itinerary Planning under the Background of Big Data
by: Yange Hao, et al.
Published: (2021-01-01) -
Automatic Recommendation Algorithm for Video Background Music Based on Deep Learning
by: Hong Kai
Published: (2021-01-01) -
Personalized Music Recommendation Simulation Based on Improved Collaborative Filtering Algorithm
by: Hui Ning, et al.
Published: (2020-01-01)