User fuzzy similarity-based collaborative filtering recommendation algorithm
In order to reflect the actual case of human decisions and solve the data sparseness problem of traditional col-laborative filtering recommendation algorithm, a trapezoid fuzzy model based on age fuzzy model was proposed. In this model, crisp point was fuzzified into trapezoid fuzzy mber and the fuz...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2016-04-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016024/ |
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| _version_ | 1841539589404098560 |
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| author | tao WUYi ming ZHANGXing mao WANGXing Han LI |
| author_facet | tao WUYi ming ZHANGXing mao WANGXing Han LI |
| author_sort | tao WUYi |
| collection | DOAJ |
| description | In order to reflect the actual case of human decisions and solve the data sparseness problem of traditional col-laborative filtering recommendation algorithm, a trapezoid fuzzy model based on age fuzzy model was proposed. In this model, crisp point was fuzzified into trapezoid fuzzy mber and the fuzziness and information of users' grade was taken into account when calculating user's similarity by trapezoid fuzzy number. Based on this model, the user fuzzy similari-ty-based collaborative filtering recommendation algorithm was designed. The algorithm was proved to be an extension of traditional collaborative filtering algorithm in fuzzy fields. The experimental results show that, the proposed algorithm performs better when implemented in the sparse dataset with more user than item, and its running time is much less than traditional collaborative filtering algorithm. |
| format | Article |
| id | doaj-art-8264a8d1d3d94bd48b61a2598012b6e9 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2016-04-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-8264a8d1d3d94bd48b61a2598012b6e92025-01-14T06:54:43ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-04-013719920759698899User fuzzy similarity-based collaborative filtering recommendation algorithmtao WUYiming ZHANGXingmao WANGXingHan LIIn order to reflect the actual case of human decisions and solve the data sparseness problem of traditional col-laborative filtering recommendation algorithm, a trapezoid fuzzy model based on age fuzzy model was proposed. In this model, crisp point was fuzzified into trapezoid fuzzy mber and the fuzziness and information of users' grade was taken into account when calculating user's similarity by trapezoid fuzzy number. Based on this model, the user fuzzy similari-ty-based collaborative filtering recommendation algorithm was designed. The algorithm was proved to be an extension of traditional collaborative filtering algorithm in fuzzy fields. The experimental results show that, the proposed algorithm performs better when implemented in the sparse dataset with more user than item, and its running time is much less than traditional collaborative filtering algorithm.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016024/collaborative filteringtrapezoid fuzzy modelfuzzy distancefuzzy similarity |
| spellingShingle | tao WUYi ming ZHANGXing mao WANGXing Han LI User fuzzy similarity-based collaborative filtering recommendation algorithm Tongxin xuebao collaborative filtering trapezoid fuzzy model fuzzy distance fuzzy similarity |
| title | User fuzzy similarity-based collaborative filtering recommendation algorithm |
| title_full | User fuzzy similarity-based collaborative filtering recommendation algorithm |
| title_fullStr | User fuzzy similarity-based collaborative filtering recommendation algorithm |
| title_full_unstemmed | User fuzzy similarity-based collaborative filtering recommendation algorithm |
| title_short | User fuzzy similarity-based collaborative filtering recommendation algorithm |
| title_sort | user fuzzy similarity based collaborative filtering recommendation algorithm |
| topic | collaborative filtering trapezoid fuzzy model fuzzy distance fuzzy similarity |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016024/ |
| work_keys_str_mv | AT taowuyi userfuzzysimilaritybasedcollaborativefilteringrecommendationalgorithm AT mingzhangxing userfuzzysimilaritybasedcollaborativefilteringrecommendationalgorithm AT maowangxing userfuzzysimilaritybasedcollaborativefilteringrecommendationalgorithm AT hanli userfuzzysimilaritybasedcollaborativefilteringrecommendationalgorithm |