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基于协同过滤挖掘算法的web数据挖掘
引用本文:瞿江. 基于协同过滤挖掘算法的web数据挖掘[J]. 数字社区&智能家居, 2009, 0(24)
作者姓名:瞿江
作者单位:苏州信息职业技术学院计算机系;
摘    要:
随着电子商务的发展状大,缺乏个性化服务成为制约电子商务发展的关键问题。基于web数据挖掘的电子商务挖掘系统可以满足电子商务未来发展趋势的需要。该文以一组数据为实例阐述了基于web数据挖掘的协同过滤挖掘算法是如何进行数据表示、近邻查询以及挖掘产生这三个阶段的有效实施的。

关 键 词:Web数据挖掘  电子商务  挖掘系统  协同过滤  

Web Data Mining Based on Collaborative Filtering Mining Algorithm
QU Jiang. Web Data Mining Based on Collaborative Filtering Mining Algorithm[J]. Digital Community & Smart Home, 2009, 0(24)
Authors:QU Jiang
Affiliation:Suzhou College of Information Technology;Computer Department;Suzhou 215200;China
Abstract:
With the developmentof Ecommerce the lack ofpersonalized service has become the key obstacle to the development of electronic commerce. Web based data mining E2commerce Mining system can meet the needsof future Ecommerce development trends. In thispaper, with one setof data as an example collaborative filtering Mining algorithm was elaborated based on web data mining how to work in the progress of data express, neighbors queries and recommend generated.
Keywords:web data mining  ecommerce  mining systems  collaborative filtering  
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