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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
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Massimiliano Albanese , Antonio Picariello , Carlo Sansone , Lucio Sansone, A web personalization system based on web usage mining techniques, Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters, May 19-21, 2004, New York, NY, USA
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Dongsong Zhang , George Karabatis , Zhiyuan Chen , Boonlit Adipat , Liwei Dai , Zhenxue Zhang , Yu Wang, Personalization and visualization on handheld devices, Proceedings of the 2006 ACM symposium on Applied computing, April 23-27, 2006, Dijon, France
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Carsten Stolz , Michael Barth , Maximilian Viermetz , Klaus D. Wilde, Searchstrings revealing user intent: a better understanding of user perception, Proceedings of the 6th international conference on Web engineering, July 11-14, 2006, Palo Alto, California, USA
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Kaijian Xu , Manli Zhu , Daqing Zhang , Tao Gu, Context-aware content filtering & presentation for pervasive & mobile information systems, Proceedings of the 1st international conference on Ambient media and systems, p.1-8, February 11-14, 2008, Quebec, Canada
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Theodore Dalamagas , Panagiotis Bouros , Theodore Galanis , Magdalini Eirinaki , Timos Sellis, Mining user navigation patterns for personalizing topic directories, Proceedings of the 9th annual ACM international workshop on Web information and data management, November 09-09, 2007, Lisbon, Portugal
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Yang Sun , Huajing Li , Isaac G. Councill , Jian Huang , Wang-Chien Lee , C. Lee Giles, Personalized ranking for digital libraries based on log analysis, Proceeding of the 10th ACM workshop on Web information and data management, October 30-30, 2008, Napa Valley, California, USA
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Jurriaan Souer , Lutzen Luinenburg , Johan Versendaal , Inge van de Weerd , Sjaak Brinkkemper, Engineering a design method for web content management implementations, Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services, November 24-26, 2008, Linz, Austria
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G. Castellano , A. M. Fanelli , P. Plantamura , M. A. Torsello, A neuro-fuzzy strategy for web personalization, Proceedings of the 23rd national conference on Artificial intelligence, p.1784-1785, July 13-17, 2008, Chicago, Illinois
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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
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