A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis
In order to recommend music conforming to the people’s sentiment state in real time，a novel music recommendation method combining music sub-personality and social network behavior analysis was proposed.Through sentiment analysis of the users’ words and sentences which was released on Weibo and other...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2015-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015240/ |
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| _version_ | 1841529115196260352 |
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| author | Chunhua Ju Zhiyi Huang Fuguang Bao |
| author_facet | Chunhua Ju Zhiyi Huang Fuguang Bao |
| author_sort | Chunhua Ju |
| collection | DOAJ |
| description | In order to recommend music conforming to the people’s sentiment state in real time，a novel music recommendation method combining music sub-personality and social network behavior analysis was proposed.Through sentiment analysis of the users’ words and sentences which was released on Weibo and other social network，the method calculated the users’ music preference in a sentiment state，the most suitable music was recommend to users in that sentiment state.Experimental results show that the proposed method can alleviate the effect of user data sparsity on the recommendation results. |
| format | Article |
| id | doaj-art-a76e244779924cad9c2f5ef8069cc2e7 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2015-10-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-a76e244779924cad9c2f5ef8069cc2e72025-01-15T03:24:08ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-10-013111512359798332A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior AnalysisChunhua JuZhiyi HuangFuguang BaoIn order to recommend music conforming to the people’s sentiment state in real time，a novel music recommendation method combining music sub-personality and social network behavior analysis was proposed.Through sentiment analysis of the users’ words and sentences which was released on Weibo and other social network，the method calculated the users’ music preference in a sentiment state，the most suitable music was recommend to users in that sentiment state.Experimental results show that the proposed method can alleviate the effect of user data sparsity on the recommendation results.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015240/music recommendationmusic sub-personalitysocial networksentiment analysisdata sparsity |
| spellingShingle | Chunhua Ju Zhiyi Huang Fuguang Bao A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis Dianxin kexue music recommendation music sub-personality social network sentiment analysis data sparsity |
| title | A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis |
| title_full | A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis |
| title_fullStr | A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis |
| title_full_unstemmed | A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis |
| title_short | A Novel Music Recommendation Method Combining Music Sub-Personality and Social Network Behavior Analysis |
| title_sort | novel music recommendation method combining music sub personality and social network behavior analysis |
| topic | music recommendation music sub-personality social network sentiment analysis data sparsity |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015240/ |
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