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» Supporting ranked search in parallel search cluster networks
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WWW
2011
ACM
12 years 11 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
ICDCS
2005
IEEE
13 years 10 months ago
Keyword Search in DHT-Based Peer-to-Peer Networks
Existing techniques for keyword/attribute search in structured P2P overlays suffer from several problems: unbalanced load, hot spots, fault tolerance, storage redundancy, and unab...
Yuh-Jzer Joung, Chien-Tse Fang, Li-Wei Yang
IAT
2009
IEEE
13 years 11 months ago
CubanSea: Cluster-Based Visualization of Search Results
—In recent years, there has been a move toward supporting the human element of Web search beyond a simple query box and a ranked list of search results. In this paper, we present...
Matthias Tilsner, Orland Hoeber, Adrian Fiech
PDP
2006
IEEE
13 years 11 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
IDEAL
2007
Springer
13 years 11 months ago
Topological Tree Clustering of Social Network Search Results
In the information age, online collaboration and social networks are of increasing importance and quickly becoming an integral part of our lifestyle. In business, social networking...
Richard T. Freeman