吉林大学学报（理学版）2017，Vol.55Issue(2)：371-375,5.DOI:10.13413/j.cnki.jdxblxb.2017.02.30
一种新的基于LDA-MURE模型的音乐个性化推荐算法
A New Personalized Music Recommendation Algorithm Based on LDA-MURE Model
摘要
Abstract
Aiming at the lack of personalized music recommendation and collaborative filtering method based on music information,through the analysis of the user's listening to music data and download data,combined with LDA (latent Dirichlet allocation ) theme mining model, we proposed a recommendation algorithm based on the LDA-MURE model. Experimental results show that, compared with collaborative filtering algorithm based on user of music works and collaborative filtering algorithm based on music attribute item,the LDA-MURE algorithm can be more effective to music users recommend music works of interest.关键词
协同过滤/LDA模型/Gibbs抽样/LDA-MURE模型/推荐算法Key words
collaborative filtering/LDA model/Gibbs sampling/LDA-MURE model/recommendation algorithm分类
信息技术与安全科学引用本文复制引用
李艳,李葆华,王金环..一种新的基于LDA-MURE模型的音乐个性化推荐算法[J].吉林大学学报（理学版）,2017,55(2):371-375,5.基金项目
国家自然科学基金(批准号:51228602)和陕西省高等教育教学改革研究项目(批准号:15BY122). （批准号:51228602）
