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» Learning to rank on graphs
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148
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WAW
2010
Springer
306views Algorithms» more  WAW 2010»
14 years 11 months ago
Finding and Visualizing Graph Clusters Using PageRank Optimization
We give algorithms for finding graph clusters and drawing graphs, highlighting local community structure within the context of a larger network. For a given graph G, we use the per...
Fan Chung Graham, Alexander Tsiatas
115
Voted
GECCO
2009
Springer
151views Optimization» more  GECCO 2009»
15 years 8 months ago
Swarming to rank for information retrieval
This paper presents an approach to automatically optimize the retrieval quality of ranking functions. Taking a Swarm Intelligence perspective, we present a novel method, SwarmRank...
Ernesto Diaz-Aviles, Wolfgang Nejdl, Lars Schmidt-...
WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
15 years 8 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
132
Voted
AINA
2004
IEEE
15 years 5 months ago
Parallel PageRank Computation on a Gigabit PC Cluster
Efficient computing the PageRank scores for a large web graph is actually one of the hot issues in Web-IR community. Recent researches propose to accelerate the computation, both ...
Bundit Manaskasemsak, Arnon Rungsawang
119
Voted
WAW
2007
Springer
77views Algorithms» more  WAW 2007»
15 years 8 months ago
Using Bloom Filters to Speed Up HITS-Like Ranking Algorithms
Abstract. This paper describes a technique for reducing the querytime cost of HITS-like ranking algorithm. The basic idea is to compute for each node in the web graph a summary of ...
Sreenivas Gollapudi, Marc Najork, Rina Panigrahy