期刊名称：International Journal of Computer Science and Communication Networks
电子版ISSN：2249-5789
出版年度：2012
卷号：2
期号：3
页码：364-368
出版社：Technopark Publications
摘要：Web mining is the application of data mining techniques to extract knowledge from Web. Web mining has been explored to a vast degree and different techniques have been proposed for a variety of applications that includes music, images, books recommendations, query suggestions, etc. In this paper, we highlight the significance of studying the evolving nature of the Web personalization. Web usage mining is used to discover interesting user navigation patterns and can be applied to many real-world problems, such as improving Web sites/pages, making additional topic or product recommendations, user/customer behavior studies, etc. The proposed framework can be utilized in many recommendation tasks on the World Wide Web, including query suggestions, image recommendations, etc. The experimental analysis on large datasets shows the promising future of our work
关键词：Web Mining; World wide web; Web Personalization
