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» Usage-Based PageRank for Web Personalization
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KDD
2004
ACM
146views Data Mining» more  KDD 2004»
14 years 8 months 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 ...
Mehmet S. Aktas, Mehmet A. Nacar, Filippo Menczer
WWW
2004
ACM
14 years 8 months ago
Updating pagerank with iterative aggregation
We present an algorithm for updating the PageRank vector [1]. Due to the scale of the web, Google only updates its famous PageRank vector on a monthly basis. However, the Web chan...
Amy Nicole Langville, Carl Dean Meyer
ECIR
2007
Springer
13 years 9 months ago
Natural Language Processing for Usage Based Indexing of Web Resources
Abstract. The identification of reliable and interesting items on Internet becomes more and more difficult and time consuming. This paper is a position paper describing our intend...
Anne Boyer, Armelle Brun
WAW
2009
Springer
187views Algorithms» more  WAW 2009»
14 years 2 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
ICDCS
2005
IEEE
14 years 1 months ago
Using a Layered Markov Model for Distributed Web Ranking Computation
The link structure of the Web graph is used in algorithms such as Kleinberg’s HITS and Google’s PageRank to assign authoritative weights to Web pages and thus rank them. Both ...
Jie Wu, Karl Aberer