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18

WAW
2009
Springer

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Cluster Based Personalized Search

13 years 11 months ago

Cluster Based Personalized Search

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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

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Algorithms | Personalized Ranking Algorithms | Ranking Algorithms | WAW 2009 | Web Ranking Algorithms |

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Added	25 May 2010
Updated	25 May 2010
Type	Conference
Year	2009
Where	WAW
Authors	Hyun Chul Lee, Allan Borodin

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