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» Supporting ranked search in parallel search cluster networks
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ICITA
2005
IEEE
14 years 1 months ago
Partition-Based Parallel PageRank Algorithm
A re-ranking technique,called “PageRank brings a successful story behind the search engine. Many studies focus on finding an way to compute the PageRank scores of a large web gr...
Arnon Rungsawang, Bundit Manaskasemsak
IPM
2007
156views more  IPM 2007»
13 years 7 months ago
p2pDating: Real life inspired semantic overlay networks for Web search
We consider a network of autonomous peers forming a logically global but physically distributed search engine, where every peer has its own local collection generated by independe...
Josiane Xavier Parreira, Sebastian Michel, Gerhard...
SIGIR
2012
ACM
11 years 10 months ago
Parallelizing ListNet training using spark
As ever-larger training sets for learning to rank are created, scalability of learning has become increasingly important to achieving continuing improvements in ranking accuracy [...
Shilpa Shukla, Matthew Lease, Ambuj Tewari
ICPP
2005
IEEE
14 years 1 months ago
Push-Pull: Guided Search DAG Scheduling for Heterogeneous Clusters
Consider a heterogeneous cluster system, consisting of processors with varying processing capabilities and network links with varying bandwidths. Given a DAG application to be sch...
Sang Cheol Kim, Sunggu Lee
RSFDGRC
2011
Springer
255views Data Mining» more  RSFDGRC 2011»
12 years 10 months ago
Construction and Analysis of Web-Based Computer Science Information Networks
WINACS (Web-based Information Network Analysis for Computer Science) is a project that incorporates many recent, exciting developments in data sciences to construct a Web-based co...
Jiawei Han