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Internet search engines / Regression analysis / Machine learning / Statistical classification / Google Search / Ranking function / Vector space model / PageRank / Bing / Statistics / Information science / Information retrieval


An Analysis of Factors Used in Search Engine Ranking Albert Bifet Technical University of Catalonia [removed] Carlos Castillo
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Document Date: 2005-05-18 10:09:38

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File Size: 73,51 KB

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City

Nevada Ohio / Canberra / Verrocchio Arizona / /

Company

Kendall / ACM Press / Google / comScore Networks / /

Country

Germany / Australia / Spain / /

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Facility

Carlos Castillo University / Search Engine Ranking Albert Bifet Technical University of Catalonia / /

IndustryTerm

search engines using clickthrough data / indexed web pages / web directory / inner products / search engine results / learning search engine / search criteria / data mining / data mining algorithms / real search engine / E-commerce websites / statistical learning algorithms / external Web / web search engine / web traffic / web pages1 / search engines / web search engines / search service / large search engine / real web / power law / repeated web crawls / time internet users / scalar product / search engine / search results / /

Organization

idf / Search Engine Ranking Albert Bifet Technical University of Catalonia / Institute for Computer Science / /

Person

Jakob Nielsen / Paul-Alexandru Chirita / /

Position

Feature Extractor The Feature Extractor / Feature Extractor / dvd player / /

Product

Matlab / /

ProgrammingLanguage

XML / /

ProvinceOrState

Illinois / Oregon / Connecticut / Iowa / Idaho / Arkansas / /

PublishedMedium

Journal of Artificial Intelligence Research / /

Technology

Hilltop algorithm / API / Search Engine / HTML / ISDN / statistical learning algorithms / data mining algorithms / training algorithm / data mining / DOM / document object model / ranking algorithm / /

URL

http /

SocialTag