| 信息检索分类系统中过滤推荐算法研究 |
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| 引用本文： | 周琪锋.信息检索分类系统中过滤推荐算法研究[J].微计算机信息,2010(3). |
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| 作者姓名： | 周琪锋 |
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| 作者单位： | 广东商学院; |
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| 摘 要： | 针对信息检索分类技术发展的需求,本文通过对协同过滤推荐算法的综述,提出传统过滤算法无法适用于用户多兴趣下的推荐问题进行了剖析,提出了一种基于用户聚类的协同过滤推荐改进算法,提高聚类的精确性,根据用户兴趣相似的特征改进计算用户相似性的方法。
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| 关 键 词： | 协同过滤 聚类 推荐 |
Information retrieval classification system to filter the recommendation algorithm |
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| ZHOU Qi-feng.Information retrieval classification system to filter the recommendation algorithm[J].Control & Automation,2010(3). |
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| Authors: | ZHOU Qi-feng |
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| Affiliation: | ZHOU Qi-feng(Guangdong university of business studies,Guangzhou 510320,China) |
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| Abstract: | Information retrieval classification system for the development of demand,the paper recommended the adoption of collaborative filtering algorithm synthesis,the traditional filter algorithm can not apply to users interested in the issue under the recommendation of the analysis,a userbased collaborative filtering recommendation Clustering improved algorithm to improve the accuracy of clustering,based on user interest in similar characteristics to improve the user similarity calculation method. |
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| Keywords: | collaborative filtering clustering recommendation |
| 本文献已被 CNKI 等数据库收录！ |
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