| WEB挖掘在个性化推荐系统中的应用研究 |
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| 引用本文： | 徐红. WEB挖掘在个性化推荐系统中的应用研究[J]. 安徽电子信息职业技术学院学报, 2014, 0(3): 24-28 |
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| 作者姓名： | 徐红 |
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| 作者单位： | 广东工程职业技术学院图书馆; |
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| 摘 要： | 如何精准地捕获读者的需求并分析客户的需求是设计个性化推荐系统的关键性问题。本文借鉴大型电子商务网站的个性化推荐技术,采用WEB挖掘的方式,采集海量的读者数据,运用CPM算法对读者及资源进行关联,根据读者的查询记录、借阅历史等信息实现智能推荐相关的书目,以满足读者个性化的服务需求。
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| 关 键 词： | WEB挖掘 数据处理 算法 |
Research on Application of WEB Data Mining in Personalized Recommendations |
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| XU Hong. Research on Application of WEB Data Mining in Personalized Recommendations[J]. Journal of Anhui Vocational College of Electronios & Information Technology, 2014, 0(3): 24-28 |
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| Authors: | XU Hong |
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| Affiliation: | XU Hong ( Guangdong Engineering Polytechnic College, Guangzhou 510520, Guangdong) |
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| Abstract: | It＇s essential for an individualized recommendation system to precisely know and analyze readers＇ requirements. This paper draws on the experience of individualized recommendation technology of large-scale Ecommerce websites, adopts WEB data mining, collects massive reader data, associates readers with resources with CMP algorithm, and realizes intelligent recommendation of related books to readers on the basis of inquiry records, borrowing history and other information, which can meet the requirements of individualized service. |
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| Keywords: | WEB data mining data processing algorithm |
| 本文献已被 CNKI 维普 等数据库收录！ |
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