| 个性化信息服务中用户偏好的动态挖掘 |
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| 引用本文： | 孔繁超.个性化信息服务中用户偏好的动态挖掘[J].情报理论与实践,2009,32(6). |
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| 作者姓名： | 孔繁超 |
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| 作者单位： | 曲阜师范大学,日照校区图书馆,山东,日照,276826 |
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| 摘 要： | 基于个性化信息服务中用户偏好随时间变化的特性,采用聚类、关联规则等技术,对用户偏好进行动态挖掘.通过追踪用户需求序列,最终产生Top-N产品推荐,旨在提高推荐系统的推荐质量.然后选取协同过滤算法作对照,并采用MovieLens站点提供的测试数据集.通过对召回率和精度两项指标的分析,表明该动态挖掘算法具有较高的推荐准确度和全面性.
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| 关 键 词： | 个性化信息服务 用户偏好 协同过滤 |
Dynamic Mining of User Preference in Individual Information Service |
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| Kong Fanchao.Dynamic Mining of User Preference in Individual Information Service[J].Information Studies:Theory & Application,2009,32(6). |
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| Authors: | Kong Fanchao |
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| Abstract: | Based on the characteristics that userpreference changes with time in individual information service,the userpreferenceis mined dynamicallyby the use of the technologies such as clustering and association rules.By tracing the demandsequence of the user,the Top-N product recommendation is finally generated to improve the recommending quality of the recommendation system.Then,the collaborative filtering algorithm is chosen as a contrast and the test data set provided by MovieLensWebsite is adopted.Analysis of... |
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| Keywords: | individual information service user preference collaborative filtering |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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