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Web mining for web personalization
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Source ACM Transactions on Internet Technology (TOIT) archive
Volume 3 ,  Issue 1  (February 2003) table of contents
Pages: 1 - 27  
Year of Publication: 2003
ISSN:1533-5399
Authors
Magdalini Eirinaki  Athens University of Economics and Business, Athens, Greece
Michalis Vazirgiannis  Athens University of Economics and Business, Athens, Greece
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  56


REVIEW

"Dimitrios Katsaros : Reviewer"

The issue of using data mining technologies for the purpose of personalizing a Web site according to the needs or preferences of the user is the focus of this paper. It presents a survey of the most important commercially available products and re  more...

Collaborative Colleagues:
Magdalini Eirinaki: colleagues
Michalis Vazirgiannis: colleagues