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» Ranking with Uncertain Scores
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PDP
2006
IEEE
15 years 3 months ago
Parallel Adaptive Technique for Computing PageRank
Re-ranking the search results using PageRank is a well-known technique used in modern search engines. Running an iterative algorithm like PageRank on a large web graph consumes bo...
Arnon Rungsawang, Bundit Manaskasemsak
SSDBM
2006
IEEE
122views Database» more  SSDBM 2006»
15 years 3 months ago
Probabilistic Ranking Queries on Gaussians
In many modern applications, there are no exact values available to describe the data objects. Instead, the feature values are considered to be uncertain. This uncertainty is mode...
Christian Böhm, Alexey Pryakhin, Matthias Sch...
WWW
2006
ACM
15 years 10 months ago
BuzzRank ... and the trend is your friend
Ranking methods like PageRank assess the importance of Web pages based on the current state of the rapidly evolving Web graph. The dynamics of the resulting importance scores, how...
Klaus Berberich, Srikanta J. Bedathur, Michalis Va...
IWPEC
2010
Springer
14 years 7 months ago
Partial Kernelization for Rank Aggregation: Theory and Experiments
RANK AGGREGATION is important in many areas ranging from web search over databases to bioinformatics. The underlying decision problem KEMENY SCORE is NP-complete even in case of fo...
Nadja Betzler, Robert Bredereck, Rolf Niedermeier
DASFAA
2010
IEEE
190views Database» more  DASFAA 2010»
15 years 1 months ago
k-Selection Query over Uncertain Data
This paper studies a new query on uncertain data, called k-selection query. Given an uncertain dataset of N objects, where each object is associated with a preference score and a p...
Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian, Wang...