期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2011
卷号：2
期号：9
DOI：10.14569/IJACSA.2011.020913
出版社：Science and Information Society (SAI)
摘要：Web usage mining is an application of Web mining which focus on the extraction of useful information from usage data of severs logs. In order to improve the usability of a Web site so that users can more easily find and retrieve information they are looking for, we proposed a recommendation methodology based on correlation rules. A correlation rule is measured not only by its support and confidence but also by the correlation between itemsets. Proposed methodology recommends interesting Web pages to the users on the basis of their behavior discovered from web log data. Association rules are generated using FP growth approach and we used two criteria for selecting interesting rules: Confidence and Cosine measure. We also proposed an algorithm for the recommendation process.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; Web usage mining; FPgrowth; Cosine measure; Usability; Association rules.
