| 结合人口分类特征知识的协同过滤算法 |
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| 引用本文： | 徐莉.结合人口分类特征知识的协同过滤算法[J].安徽科技学院学报,2007,21(2):40-44. |
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| 作者姓名： | 徐莉 |
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| 作者单位： | 上海财经大学,信息管理与工程学院,上海,200439 |
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| 摘 要： | 本文提出了一种结合人口分类特征计算用户相似度的协同过滤算法.实验结果表明,该算法可以改进相似用户的选取精度,从而提高推荐质量.最后,指出该算法可以解决网站刚启动用户数量不足时的"冷启动"问题.
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| 关 键 词： | 电子商务 推荐系统 协同过滤 基于内容的过滤 数据挖掘 |
| 文章编号： | 1673-8772（2007）02-0040-05 |
| 收稿时间： | 2007-01-06 |
| 修稿时间： | 2007-01-06 |
Collabrative Filtering Recommendation Based on Demography Information |
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| XU Li.Collabrative Filtering Recommendation Based on Demography Information[J].Journal of Anhui Science and Technology University,2007,21(2):40-44. |
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| Authors: | XU Li |
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| Abstract: | A collaborative filter algorithm by taking demographic trait into consideration is proposed.Experimental results demonstrate that the algorithm can improve the accuracy to choose the similar user.At the end,it is pointed that the algorithm is applied in the condition that common rating items between the users are in sufficient. |
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| Keywords: | E-commerce Recommendation systems Collaborative filtering Content-based filtering Data detecting |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
