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» Improved Link-Based Algorithms for Ranking Web Pages
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ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
14 years 1 months ago
Usage-Based PageRank for Web Personalization
Recommendation algorithms aim at proposing “next” pages to a user based on her current visit and the past users’ navigational patterns. In the vast majority of related algor...
Magdalini Eirinaki, Michalis Vazirgiannis
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
WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
14 years 2 months ago
Less is more: sampling the neighborhood graph makes SALSA better and faster
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
WWW
2007
ACM
14 years 8 months ago
Optimizing web search using social annotations
This paper explores the use of social annotations to improve web search. Nowadays, many services, e.g. del.icio.us, have been developed for web users to organize and share their f...
Shenghua Bao, Gui-Rong Xue, Xiaoyuan Wu, Yong Yu, ...
ICTIR
2009
Springer
14 years 22 days ago
Optimizing WebPage Interest
Abstract. In the rapidly evolving and growing environment of the internet, web site owners aim to maximize interest for their web site. In this article we propose a model, which co...
Willem Elbers, Theo P. van der Weide