| 基于关联规则的网站个性化服务 |
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| 引用本文： | 廖亚莉,王锡钢,战学刚.基于关联规则的网站个性化服务[J].鞍山科技大学学报,2004,27(6):432-435. |
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| 作者姓名： | 廖亚莉 王锡钢 战学刚 |
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| 作者单位： | 鞍山科技大学计算机科学与工程学院，鞍山科技大学计算机科学与工程学院，鞍山科技大学计算机科学与工程学院 辽宁鞍山 114044，辽宁鞍山 114044，辽宁鞍山 114044 |
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| 摘 要： | 从大量顾客在线购买历史记录中挖掘出有用的关联规则，是一种及时有效的向顾客推出个性化服务的重要技术．对网上书店的顾客在线购买行为进行挖掘分析，采用Apriori算法找到其中的关联规则，采用支持度过滤方法获取频繁的顾客购买行为模式，提出根据用户的兴趣度和规则的置信度产生相应的推荐候选集，实现网上书店的个性化推荐服务。
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| 关 键 词： | 关联规则 个性化 频繁项集 推荐项集 兴趣强度 |
| 文章编号： | 1672-4410(2004)06-0432-04 |
| 修稿时间： | 2003年12月9日 |
Network services of personalized recommendation based on association rules |
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| LIAO Ya-li,WANG Xi-gang,ZHAN Xue-gang.Network services of personalized recommendation based on association rules[J].Journal of Anshan University of Science and Technology,2004,27(6):432-435. |
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| Authors: | LIAO Ya-li WANG Xi-gang ZHAN Xue-gang |
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| Abstract: | Mining useful association rules from volumes of customers' on-line purchasing histories is an important technology for efficient personalized service.By analyzing and mining the customers' on-line purchasing on an internet bookshop,the association rules was find by means of Apriori algorithm.Then the patterns for frequently purchasing were extracted by filtering support degrees.The candidating webs to be recommendated can be determined according to the customers' interest degree and the credibility of the rules,so that personalization recommendation services could be provided. |
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| Keywords: | association rules personalization services frequent itemset recommendation itemset interest degree |
| 本文献已被 CNKI 维普 等数据库收录！ |
