Web Personalization Services Based on Clustering And Contiguous Sequential Pattern Mining

摘要：

This paper focuses the requirement of web personalization service for the sequential patterns and sequential mining algorithms. The one, Previous sequential mining algorithms treat sequential patterns uniformly while sequential patterns have different importance. Web usage mining has been used effectively as an underlying mechanism for Web personalization and recommender systems. A variety of recommendation frameworks have been proposed, including some based on non-sequential models, such as association rules; and some based on sequential models, such as sequential patterns. To solve the above problem, In this paper, we present a hybrid Web personalization system based on clustering and contiguous sequential pattern. Our system clusters the log files using SOM at first, which can determine the basic architecture of Web sites. While for each cluster, we use contiguous sequential pattern mining to further optimize the topologies of Web sites. Finally, we propose two evaluating parameters to test the performance of our system.

关键词： Web Personalization Web Usage Mining Clustering Contiguous Sequential Pattern Mining SOM

作者: Wei Cui Wei Fang

作者单位: School of Humanlities & Economic Management, China University of Geosciences(Beijing) Beijing, 100083, China Lab of Resources and Environmental Management, China University of Geosciences (Beijing) Beijing, 100083, China

会议类型: 国际会议

会议名称: 第八届武汉电子商务国际会议(The Eighth Wuhan International Conference on E-Business)

会议地点: 武汉

会议语种:英文

页码: 775-780

在线出版日期: 2009-05-30（万方平台首次上网日期，不代表论文的发表时间）