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Computing / Information science / World Wide Web / Markov models / Internet search engines / PageRank / Web crawler / HITS algorithm / Google Search / Link analysis / Internet / Search engine optimization


RESEARCH FEATURE Comparison of Three Vertical Search Spiders In domain-specific search experiments, a Web spider based on a neural
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Document Date: 2003-09-01 19:59:28

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City

Figure A. Link / /

Company

Neural Networks / AltaVista / Physical Systems / Yahoo / Management Information Systems / Adobe / ACM Press / Google / ACM Special Interest Group / eBay / /

Currency

USD / /

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Event

Product Issues / Product Recall / /

Facility

University of Hong Kong / University of Arizona Artificial Intelligence Lab / University of Arizona / Michael Chau Hsinchun Chen University of Arizona / US National Library of Medicine / New York University / US National Library / National Library of Medicine / /

IndustryTerm

Web applications / Good spidering algorithms / software agents / Web page classification / Web link structure / local search engine database / Web analysis Recent research / Web spider / particular Web domains / basic algorithm / medical and nonmedical Web pages / parallel search algorithm / Web Documents / graph search approaches / traversal algorithm / seed Web / Internet Technology / Web search results / randomfirst search / e - commerce / up-todate search indexes / search query / breadth-first graph-traversal algorithm / search spiders / spider applications / medical domain Web sites / search process / Web Analysis / Web content / activation algorithms / link-based Web analyses / search engine spiders / Web analysis Spiders / medical Web / breadth-first search spider / knowledge management / domain-specific search experiments / breadth-first search / graph search / spreadingactivation algorithm / basic graph-traversal algorithm / Web Search Engine / medical search engine / Search engines / search engine3 / Web mining / Web search / graph search algorithms / search engine / search results / link-analysis algorithms / /

Organization

New York University / Hoffman ECommerce Lab / Department of Management Information Systems / Stanford Univ. / National Science Foundation / Nat’l Academy of Science / Artificial Intelligence Lab / University of Arizona Artificial Intelligence Lab / University of Hong Kong / University of Arizona / IEEE Computer Society / Stanford / /

Person

Nat / Yohanes Santoso / Ming Yin / Haiyan Fan / Michael Chau / Wojciech Wyzga / Stanford Univ / /

Position

librarian / medical librarian / author / Professor of Management Information Systems and director / candidate and a research associate / research associate / /

Product

rates of the spiders / Unified Medical Language System / PageRank / rates / Hopfield Net / rate / /

ProvinceOrState

Arizona / /

TVStation

Knowledge Network / /

Technology

traversal algorithm / HITS algorithm / graph search algorithms / HTML / spreading-activation algorithm / neural network / graph-traversal algorithm / r3 qi rj Figure A. Link-based algorithms / network algorithm / parallel search algorithm / basic graph-traversal algorithm / PageRank algorithms / search engine / Good spidering algorithms / machine learning / activation algorithms / PDF / link-analysis algorithms / knowledge management / PageRank algorithm / artificial intelligence / HITS Algorithms The PageRank algorithm / http / Simulation / spreadingactivation algorithm / basic algorithm / /

URL

compuserve.com / www.buildingonline.com / adobe.com / www.ebay.com / www.lawcrawler / www.nlm.nih.gov / www.google.com / www.sciseek.com / http /

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