Design and Construction of Hybrid Music Recommendation System Integrating Music Gene

In order to improve the effect of mixed music recommendation, this study combines music genes to construct a mixed music recommendation system. From the analysis of the complexity of each joint inference algorithm, GP + RKF has the highest complexity compared with the other three joint inference alg...

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Main Author: Xuelin Zhao
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2022/5315528
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author Xuelin Zhao
author_facet Xuelin Zhao
author_sort Xuelin Zhao
collection DOAJ
description In order to improve the effect of mixed music recommendation, this study combines music genes to construct a mixed music recommendation system. From the analysis of the complexity of each joint inference algorithm, GP + RKF has the highest complexity compared with the other three joint inference algorithms. Moreover, this study verifies it through the running time of the simulation experiment, using the growth method as the way of mutation. In addition, while adopting the optimal individual retention strategy, this study makes the eigenvalues of the input matrix IX all fall within the unit circle or unit circumference and makes the maximum fitness value of the individuals in the population equal to the global optimal fitness value. Finally, this study constructs an intelligent system. Through the experimental research, it can be seen that the hybrid music recommendation system based on the fusion of music genes proposed in this study has a good music recommendation effect.
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institution Kabale University
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series Journal of Electrical and Computer Engineering
spelling doaj-art-f42af67dd284457bb30c5b582ad4d8f12025-02-03T01:06:36ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/5315528Design and Construction of Hybrid Music Recommendation System Integrating Music GeneXuelin Zhao0Shandong College of ArtsIn order to improve the effect of mixed music recommendation, this study combines music genes to construct a mixed music recommendation system. From the analysis of the complexity of each joint inference algorithm, GP + RKF has the highest complexity compared with the other three joint inference algorithms. Moreover, this study verifies it through the running time of the simulation experiment, using the growth method as the way of mutation. In addition, while adopting the optimal individual retention strategy, this study makes the eigenvalues of the input matrix IX all fall within the unit circle or unit circumference and makes the maximum fitness value of the individuals in the population equal to the global optimal fitness value. Finally, this study constructs an intelligent system. Through the experimental research, it can be seen that the hybrid music recommendation system based on the fusion of music genes proposed in this study has a good music recommendation effect.http://dx.doi.org/10.1155/2022/5315528
spellingShingle Xuelin Zhao
Design and Construction of Hybrid Music Recommendation System Integrating Music Gene
Journal of Electrical and Computer Engineering
title Design and Construction of Hybrid Music Recommendation System Integrating Music Gene
title_full Design and Construction of Hybrid Music Recommendation System Integrating Music Gene
title_fullStr Design and Construction of Hybrid Music Recommendation System Integrating Music Gene
title_full_unstemmed Design and Construction of Hybrid Music Recommendation System Integrating Music Gene
title_short Design and Construction of Hybrid Music Recommendation System Integrating Music Gene
title_sort design and construction of hybrid music recommendation system integrating music gene
url http://dx.doi.org/10.1155/2022/5315528
work_keys_str_mv AT xuelinzhao designandconstructionofhybridmusicrecommendationsystemintegratingmusicgene