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2004
ACM

Using Hyperlink Features to Personalize Web Search

11 years 3 days ago
Using Hyperlink Features to Personalize Web Search
Personalized search has gained great popularity to improve search effectiveness in recent years. The objective of personalized search is to provide users with information tailored to their individual contexts. We propose to personalize Web search based on features extracted from hyperlinks, such as anchor terms or URL tokens. Our methodology personalizes PageRank vectors by weighting links based on the match between hyperlinks and user profiles. In particular, here we describe a profile representation using Internet domain features extracted from URLs. Users specify interest profiles as binary vectors where each feature corresponds to a set of one or more DNS tree nodes. Given a profile vector, a weighted PageRank is computed assigning a weight to each URL based on the match between the URL and the profile. We present promising results from an experiment in which users were allowed to select among nine URL features combining the top two levels of the DNS tree, leading to 29 pre-compute...
Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer
Added 30 Nov 2009
Updated 30 Nov 2009
Type Conference
Year 2004
Where KDD
Authors Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer
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