Big Data Improving Recommendation Quality in Music Applications
The process and methods of big data improved recommendation quality in music applications were focused. The individual music score system referring RFM model was described. The sparsity and overlapping and reliability was applied to adjust recommendation algorithm, combined soaring words and content...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Beijing Xintong Media Co., Ltd
2014-10-01
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| Series: | Dianxin kexue |
| Subjects: | |
| Online Access: | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.008/ |
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| _version_ | 1841529389546733568 |
|---|---|
| author | Yuzhong Zhang Ai Fang Duo Jin Liyu Yuan |
| author_facet | Yuzhong Zhang Ai Fang Duo Jin Liyu Yuan |
| author_sort | Yuzhong Zhang |
| collection | DOAJ |
| description | The process and methods of big data improved recommendation quality in music applications were focused. The individual music score system referring RFM model was described. The sparsity and overlapping and reliability was applied to adjust recommendation algorithm, combined soaring words and content labels and filtering rules with mixing recommendation to resolve the common problems of recommendation system. |
| format | Article |
| id | doaj-art-0c20802c1dcb4335b77eb859731af97f |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2014-10-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-0c20802c1dcb4335b77eb859731af97f2025-01-15T03:18:41ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012014-10-0130434759618865Big Data Improving Recommendation Quality in Music ApplicationsYuzhong ZhangAi FangDuo JinLiyu YuanThe process and methods of big data improved recommendation quality in music applications were focused. The individual music score system referring RFM model was described. The sparsity and overlapping and reliability was applied to adjust recommendation algorithm, combined soaring words and content labels and filtering rules with mixing recommendation to resolve the common problems of recommendation system.http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.008/big dataRFM modelcollaborative filtering recommendation |
| spellingShingle | Yuzhong Zhang Ai Fang Duo Jin Liyu Yuan Big Data Improving Recommendation Quality in Music Applications Dianxin kexue big data RFM model collaborative filtering recommendation |
| title | Big Data Improving Recommendation Quality in Music Applications |
| title_full | Big Data Improving Recommendation Quality in Music Applications |
| title_fullStr | Big Data Improving Recommendation Quality in Music Applications |
| title_full_unstemmed | Big Data Improving Recommendation Quality in Music Applications |
| title_short | Big Data Improving Recommendation Quality in Music Applications |
| title_sort | big data improving recommendation quality in music applications |
| topic | big data RFM model collaborative filtering recommendation |
| url | http://www.telecomsci.com/zh/article/doi/10.3969/j.issn.1000-0801.2014.10.008/ |
| work_keys_str_mv | AT yuzhongzhang bigdataimprovingrecommendationqualityinmusicapplications AT aifang bigdataimprovingrecommendationqualityinmusicapplications AT duojin bigdataimprovingrecommendationqualityinmusicapplications AT liyuyuan bigdataimprovingrecommendationqualityinmusicapplications |