Helsinki / New York / Kyoto / Zurich / The Hague / Copenhagen / Washington / Ankara / /
Company
Altavista / Telia Research AB / Microsoft / /
Country
Malta / /
EntertainmentAwardEvent
Jussi / /
Facility
Bilkent University / Copenhagen University / Prentice Hall / University of Helsinki / National Institute of Standards Special Publication / /
IndustryTerm
search term / search button / search services / iterative search / user processing / language technology applications / hierarchical clustering algorithm / recent applications / search machinery / assign-to-nearest algorithm / experienced internet / The genre determination algorithm / web documents / e-zines / machine learning algorithm / search engines / non-parametric categorization tool / Internet materials / Internet material / information retrieval search process / example search / hierarchical agglomerative group-average algorithm / untrained Internet user / search engine / internal processing order / cases information visualization tools / search results / /
OperatingSystem
Microsoft Windows / /
Organization
Bilkent University / idf / National Institute of Standards Special Publication / University of Helsinki / Copenhagen University / /
Person
Johan Dewe / Jim Leistensnider / Jose Perez-Carballo / Troy Straszheim / Jin Wang / Douglas Biber / Richard C. Dubes / Christopher Buckley / Edward R. Tufte / Hans Karlgren / Louise Guthrie / Morgan Kaufmann / Jon Wilding / Jan O. Pedersen / Jussi Karlgren / Marti A. Hearst / Anil K. Jain / David R. Karger / J. Ross Quinlan / Anders Hallberg / Douglass Cutting / Erik Enkvist / John W. Tukey / Donna Harman / Gerard Salton / Nils Erik / Ivan Bretan / /
Iterative Information Retrieval Using Fast Clustering and Usage-Specific Genres Jussi Karlgren, Ivan Bretan, Johan Dewe, Anders Hallberg, Niklas Wolkert SICS, University of Helsinki, and Telia Research AB Abstract