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Information science / Search engine optimization / Markov models / PageRank / Reputation management / Searching / Neural network / Google Search / Ranking / Link analysis / Information retrieval / Internet search engines


Adaptive Page Ranking with Neural Networks Franco Scarselli Sweah Liang Yong Markus Hagenbuchner
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Document Date: 2005-04-05 10:01:40

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City

Chiba / CSIRO / /

Company

Graph Neural Networks / Amazon / Neural Networks / ACM Press / Google / /

Continent

South America / /

Country

Japan / Australia / /

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Facility

Australia University of Wollongong Wollongong / Italy University of Wollongong Wollongong / University of Siena / Neural Networks Franco Scarselli Sweah Liang Yong Markus Hagenbuchner Ah Chung Tsoi University of Siena Siena / /

IndustryTerm

online bookstore / search engines / alternative solutions / large-scale hypertextual Web search engine / graph processing / web graph / web logs / web connectivity / /

Organization

Neural Networks Franco Scarselli Sweah Liang Yong Markus Hagenbuchner Ah Chung Tsoi University of Siena Siena / Italy University of Wollongong Wollongong / Australia University of Wollongong Wollongong / University of Siena / Australia Australian Research Council Canberra / /

Person

Franco Scarselli Sweah Liang Yong / /

Position

author / sportsman / Governor / search engine administrator / neural network model for graph processing / /

Product

PageRank / /

Technology

ISDN / neural network / search engine / /

SocialTag