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WEBI
2007
Springer
14 years 5 months ago
Experimental Bounds on the Usefulness of Personalized and Topic-Sensitive PageRank
PageRank is an algorithm used by several search engines to rank web documents according to their assumed relevance and popularity deduced from the Web’s link structure. PageRank...
Sinan Al-Saffar, Gregory L. Heileman
INTR
2007
101views more  INTR 2007»
13 years 10 months ago
Page ranking and topic-sensitive page ranking: micro-changes and macro-impact
Purpose – The purpose of this paper is to examine the marketing and sales implications of page ranking techniques, in terms of how companies may use knowledge of their operation...
Felix Rimbach, Marius Dannenberg, Udo Bleimann
WWW
2007
ACM
14 years 11 months ago
A link-based ranking scheme for focused search
This paper introduces a novel link-based ranking algorithm based on a model of focused Web surfers. FocusedRank is described and compared to implementations of PageRank and Topic-...
Philip O'Brien, Tony Abou-Assaleh, Tapajyoti Das, ...
WAW
2009
Springer
187views Algorithms» more  WAW 2009»
14 years 5 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 imple...
Hyun Chul Lee, Allan Borodin
WSDM
2010
ACM
1328views Data Mining» more  WSDM 2010»
14 years 8 months ago
TwitterRank: Finding Topic-sensitive Influential Twitterers
This paper focuses on the problem of identifying influential users of micro-blogging services. Twitter, one of the most notable micro-blogging services, employs a social-networkin...
Jianshu Weng, Ee-peng Lim, Jing Jiang, Qi He