A content and structure website mining model

Authors:
Barbara Poblete;Ricardo Baeza-Yates
Affiliations:
University Pompeu Fabra, Barcelona, Spain;University Pompeu Fabra, Barcelona, Spain
Venue:
Proceedings of the 15th international conference on World Wide Web
Year:
2006

Citing 3
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Adaptive web sites: an AI challenge

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Query-sets: using implicit feedback and query patterns to organize web documents

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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.