Presentation 2011-02-28
A Study on Large-scale and High-speed Ranking Calculation Method for Knowledge Acquisition Support System
Yoshinori KUBOTA, Takuya OSAKI, Toyokazu AKIYAMA, Yukiko KAWAI, Yuya MATSUI,
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Abstract(in English) We have proposed a novel search system harmonizing web search engines and social networking services. The proposed system uses a new ranking method which is based on PageRank algorithm and it takes the visitors of web pages and their relationship into account. In order to shorten the calculation time of our ranking method, we investigated SLEPc, a parallel computing library based on Open MPI and PETSc. We evaluated three calculation methods, Lanzcos, Arnoldi and Krylov-Schur, implemented in SLEPC. As a results we confirmed that we can complete the eigenvalue and the eigenvector calculation of a markov model matrix with handreds of thousands rows and columns in dozens of seconds.
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Keyword(in English) Social Search / Eigenvalue Problem / Parallel Computing
Paper # SITE2010-56,IA2010-92
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Committee SITE
Conference Date 2011/2/21(1days)
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Registration To Social Implications of Technology and Information Ethics (SITE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Large-scale and High-speed Ranking Calculation Method for Knowledge Acquisition Support System
Sub Title (in English)
Keyword(1) Social Search
Keyword(2) Eigenvalue Problem
Keyword(3) Parallel Computing
1st Author's Name Yoshinori KUBOTA
1st Author's Affiliation Kyoto Sangyo University()
2nd Author's Name Takuya OSAKI
2nd Author's Affiliation Kyoto Sangyo University
3rd Author's Name Toyokazu AKIYAMA
3rd Author's Affiliation Kyoto Sangyo University
4th Author's Name Yukiko KAWAI
4th Author's Affiliation Kyoto Sangyo University
5th Author's Name Yuya MATSUI
5th Author's Affiliation Kyoto Sangyo University
Date 2011-02-28
Paper # SITE2010-56,IA2010-92
Volume (vol) vol.110
Number (no) 429
Page pp.pp.-
#Pages 6
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