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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id cf2005_2_53_169
authors VAN LEEUWEN Jos, JESSURUN Joran and JANSEN Glenco
year 2005
title Searching with Experience
source Learning from the Past a Foundation for the Future [Special publication of papers presented at the CAAD futures 2005 conference held at the Vienna University of Technology / ISBN 3-85437-276-0], Vienna (Austria) 20-22 June 2005, pp. 203-214
summary This paper describes the motivation and development of a new algorithm for ranking web pages. This development aims to enable the implementation of a search engine that can provide highly personalised results to queries. It was initiated by a request from the Dutch CAD industry, but has generic potential for the development of web search engines. The paper describes the algorithm, its position in relation with existing algorithms, and its potential drawbacks and advantages.
keywords search engine, page ranking, product information, construction supply chain, machine learning
series CAAD Futures
full text file.pdf (171,635 bytes)
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last changed 2005/05/05 05:06
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