Document Type
Article
Publication Date
2-1-2003
Publication Title
ACM Transactions on Internet Technology
Volume
3
Issue Number
1
First Page
1
Last Page
27
DOI
10.1145/643477.643478
Abstract
Web personalization is the process of customizing a Web site to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user's navigational behavior (usage data) in correlation with other information collected in the Web context, namely, structure, content, and user profile data. Due to the explosive growth of the Web, the domain of Web personalization has gained great momentum both in the research and commercial areas. In this article we present a survey of the use of Web mining for Web personalization. More specifically, we introduce the modules that comprise a Web personalization system, emphasizing the Web usage mining module. A review of the most common methods that are used as well as technical issues that occur is given, along with a brief overview of the most popular tools and applications available from software vendors. Moreover, the most important research initiatives in the Web usage mining and personalization areas are presented.
Recommended Citation
Magdalini Eirinaki and M. Vazirgiannis. "Web Mining for Web Personalization" ACM Transactions on Internet Technology (2003): 1-27. https://doi.org/10.1145/643477.643478
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Comments
© ACM, 2003. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Internet Technology, {VOL 3, ISS 1, (2003)}. http://dx.doi.org/10.1145/643477.643478.