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A content and structure website mining model
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Source International World Wide Web Conference archive
Proceedings of the 15th international conference on World Wide Web table of contents
Edinburgh, Scotland
POSTER SESSION: Browsers and UI, web engineering, hypermedia & multimedia, security, and accessibility table of contents
Pages: 957 - 958  
Year of Publication: 2006
ISBN:1-59593-323-9
Authors
Barbara Poblete  University Pompeu Fabra, Barcelona, Spain
Ricardo Baeza-Yates  University Pompeu Fabra, Barcelona, Spain
Sponsors
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 15,   Downloads (12 Months): 117,   Citation Count: 1
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ABSTRACT

We present a novel model for validating and improving the content and structure organization of a website. This model studies the website as a graph and evaluates its interconnectivity in relation to the similarity of its documents. The aim of this model is to provide a simple way for improving the overall structure, contents and interconnectivity of a website. This model has been implemented as a prototype and applied to several websites, showing very interesting results. Our model is complementary to other methods of website personalization and improvement.


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.

 
1
R. Baeza-Yates and B. Poblete. A website mining model centered on user queries. In EWMF 2005, pp. 3--15, 2005.
 
2
G. Karypis. CLUTO a clustering toolkit. TR. 02-017, Dept. of Cs., Univ. of Minnesota, 2002.
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M. Perkowitz and O. Etzioni. Adaptive web sites: an AI challenge. In IJCAI (1), pp. 16--23, 1997.
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REVIEW

"Jean-Pierre E Norguet : Reviewer"

With the emergence of the World Wide Web, Web sites have become a key communication channel for organizations. In this context, analyzing and improving Web communication is essential to better satisfy the objectives of the target audience. In this  more...

Collaborative Colleagues:
Barbara Poblete: colleagues
Ricardo Baeza-Yates: colleagues