| 基于多代理的模糊协同过滤 |
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| 引用本文： | 黄芹华,欧阳为民. 基于多代理的模糊协同过滤[J]. 上海大学学报(英文版), 2007, 11(3): 290-295. DOI: 10.1007/s 11741-007-0321-2 |
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| 作者姓名： | 黄芹华 欧阳为民 |
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| 作者单位： | School of Computer Engineering and Science Shanghai University，Shanghai 200072，P. R. China，School of Computer Engineering and Science，Shanghai University，Shanghai 200072，P. R. China |
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| 摘 要： | Automated collaborative filtering has become a popular technique for reducing information overload. We have developed a new method for recommending items using multiple agents. The agents were established by employing the fuzzy C-means clustering technique. We employ these agents collaborating each other to get recommendation for users. The results were evaluated by using MovieLens movie＇s rating data. It is shown that the algorithm is an effective metrics in collaborative filtering.
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| 关 键 词： | 多重代理 模糊理论 合作过滤 矩阵 |
| 文章编号： | 10.1007/s11741-007-0321-2 |
| 收稿时间： | 2005-08-30 |
| 修稿时间： | 2005-08-302005-12-23 |
Fuzzy collaborative filtering with multiple agents |
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| HUANG Qin-hua,OUYANG Wei-min. Fuzzy collaborative filtering with multiple agents[J]. Journal of Shanghai University(English Edition), 2007, 11(3): 290-295. DOI: 10.1007/s 11741-007-0321-2 |
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| Authors: | HUANG Qin-hua OUYANG Wei-min |
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| Affiliation: | School of Computer Engineering and Science,Shanghai University,Shanghai 200072,P.R.China |
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| Abstract: | Automated collaborative filtering has become a popular technique for reducing information overload. We have developed a new method for recommending items using multiple agents. The agents were established by employing the fuzzy C-means clustering technique. We employ these agents collaborating each other to get recommendation for users. The results were evaluated by using MovieLens movie's rating data. It is shown that the algorithm is an effective metrics in collaborative filtering. |
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| Keywords: | collaborative filtering multiple agents fuzzy C-means |
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