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WAW
2009
Springer

Cluster Based Personalized Search

10 years 9 months ago
Cluster Based Personalized Search
We study personalized web ranking algorithms based on the existence of document clusterings. Motivated by the topic sensitive page ranking of Haveliwala [19], we develop and implement an efficient “local-cluster” algorithm by extending the web search algorithm of Achlioptas et al. [10]. We propose some formal criteria for evaluating such personalized ranking algorithms and provide some preliminary experiments in support of our analysis.
Hyun Chul Lee, Allan Borodin
Added 25 May 2010
Updated 25 May 2010
Type Conference
Year 2009
Where WAW
Authors Hyun Chul Lee, Allan Borodin
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