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» Using PageRank in Feature Selection
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AH
2004
Springer
13 years 11 months ago
PROS: A Personalized Ranking Platform for Web Search
Current search engines rely on centralized page ranking algorithms which compute page rank values as single (global) values for each Web page. Recent work on topic-sensitive PageRa...
Paul-Alexandru Chirita, Daniel Olmedilla, Wolfgang...
WWW
2004
ACM
14 years 6 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
WWW
2008
ACM
14 years 6 months ago
Larger is better: seed selection in link-based anti-spamming algorithms
Seed selection is of significant importance for the biased PageRank algorithms such as TrustRank to combat link spamming. Previous work usually uses a small seed set, which has a ...
Qiancheng Jiang, Lei Zhang, Yizhen Zhu, Yan Zhang
WWW
2005
ACM
14 years 6 months ago
TotalRank: ranking without damping
PageRank is defined as the stationary state of a Markov chain obtained by perturbing the transition matrix of a web graph with a damping factor that spreads part of the rank. The...
Paolo Boldi
SIGIR
2009
ACM
13 years 12 months ago
The impact of crawl policy on web search effectiveness
Crawl selection policy has a direct influence on Web search effectiveness, because a useful page that is not selected for crawling will also be absent from search results. Yet th...
Dennis Fetterly, Nick Craswell, Vishwa Vinay