Discovery of User Preferred Access Patterns from Web Logs

摘要：

Web users interest and preference can be revealed by such factors as access frequencies and time durations of web pages, in which time durations on a web page are denoted by a fuzzy linguistic variable. Thus, a novel concept of fuzzy preference considering the relative access frequency and time durations of a web page is proposed to be along with another concept of support considering the absolute access frequency of a web page to measure web user interest and preference. According to these two concepts, an algorithm is developed for mining user interesting/preferred access patterns from Frequent Link and Access Tree (FLaAT), which stores all user access information extracted from web logs.

关键词： Web mining Web usage mining User access patterns Fuzzy variable Expected value

作者: Cuifang Chen

作者单位: School of Mathematics and Computer Science Shanxi Normal University Linfen, Shanxi, China

会议类型: 国际会议

会议名称: 2011 Eighth International Conference on Fuzzy System and Knowledge Discovery(第八届模糊系统与知识发现国际会议 FSKD 2011)

会议地点: 上海

会议语种:英文

页码: 422-426

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）