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WISE
2002
Springer

Mining Web Logs for Personalized Site Maps

9 years 4 months ago
Mining Web Logs for Personalized Site Maps
Navigating through a large Web site can be a frustrating exercise. Many sites employ Site Maps to help visitors understand the overall structure of the site. However, by their very nature, unpersonalized Site Maps show most visitors large amounts of irrelevant content. We propose techniques based on Web usage mining to deliver Personalized Site Maps that are specialized to the interests of each individual visitor. The key challenge is to resolve the tension between simplicity (showing just relevant content), and comprehensibility (showing sufficient context so that the visitors can understand how the content is related to the overall structure of the site). We develop two baseline algorithms (one that displays just shortest paths, and one that mines the server log for popular paths), and compare them to a novel approach that mines the server log for popular path fragments that can be dynamically assembled to reconstruct popular paths. Our experiments with two large Web sites confirm...
Fergus Toolan, Nicholas Kushmerick
Added 16 Jul 2010
Updated 16 Jul 2010
Type Conference
Year 2002
Where WISE
Authors Fergus Toolan, Nicholas Kushmerick
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