Search (66 results, page 1 of 4)

  • × year_i:[2000 TO 2010}
  • × theme_ss:"Retrievalalgorithmen"
  1. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.04
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    Date
    25. 8.2005 17:42:22
    Theme
    Suchmaschinen
  2. Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003) 0.02
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    Date
    6. 1.1997 18:30:28
    11. 9.2004 17:32:22
    Theme
    Suchmaschinen
  3. Weinstein, A.: Hochprozentig : Tipps and tricks für ein Top-Ranking (2002) 0.02
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    Abstract
    Die Suchmaschinen haben in den letzten Monaten an ihren Ranking-Algorithmen gefeilt, um Spamern das Handwerk zu erschweren. Internet Pro beleuchtet die Trends im Suchmaschinen-Marketing
    Theme
    Suchmaschinen
  4. Kanaeva, Z.: Ranking: Google und CiteSeer (2005) 0.02
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    Date
    20. 3.2005 16:23:22
    Theme
    Suchmaschinen
  5. Zhang, D.; Dong, Y.: ¬An effective algorithm to rank Web resources (2000) 0.02
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    Theme
    Suchmaschinen
  6. Notess, G.R.: Search engine relevance : the never-ending quest (2000) 0.02
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    Theme
    Suchmaschinen
  7. Stock, M.; Stock, W.G.: Internet-Suchwerkzeuge im Vergleich (IV) : Relevance Ranking nach "Popularität" von Webseiten: Google (2001) 0.02
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    Date
    28. 4.2001 14:47:21
    Theme
    Suchmaschinen
  8. Thelwall, M.; Vaughan, L.: New versions of PageRank employing alternative Web document models (2004) 0.02
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    Date
    20. 1.2007 18:32:28
    Theme
    Suchmaschinen
  9. Agosti, M.; Pretto, L.: ¬A theoretical study of a generalized version of kleinberg's HITS algorithm (2005) 0.01
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    Date
    31.12.1996 19:29:41
    Theme
    Suchmaschinen
  10. Wills, R.S.: Google's PageRank : the math behind the search engine (2006) 0.01
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    Source
    Mathematical intelligencer. 28(2006) no.4, S.6-11
    Theme
    Suchmaschinen
  11. Marcus, S.: Textvergleich mit mehreren Mustern (2005) 0.01
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    Content
    Ausarbeitung im Rahmen des Seminars Suchmaschinen und Suchalgorithmen, Institut für Wirtschaftsinformatik Praktische Informatik in der Wirtschaft, Westfälische Wilhelms-Universität Münster. - Vgl.: http://www-wi.uni-muenster.de/pi/lehre/ss05/seminarSuchen/Ausarbeitungen/SandraMarcus.pdf
    Date
    13. 2.2007 20:56:29
  12. Weiß, B.: Verwandte Seiten finden : "Ähnliche Seiten" oder "What's Related" (2005) 0.01
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    Content
    Ausarbeitung im Rahmen des Seminars Suchmaschinen und Suchalgorithmen, Institut für Wirtschaftsinformatik Praktische Informatik in der Wirtschaft, Westfälische Wilhelms-Universität Münster. - Vgl.: http://www-wi.uni-muenster.de/pi/lehre/ss05/seminarSuchen/Ausarbeitungen/BurkhardWei%DF.pdf
    Theme
    Suchmaschinen
  13. Oberhauser, O.; Labner, J.: Relevance Ranking in Online-Katalogen : Informationsstand und Perspektiven (2003) 0.01
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    Abstract
    Bekanntlich führen Suchmaschinen wie Google &Co. beider Auflistung der Suchergebnisse ein "Ranking" nach "Relevanz" durch, d.h. die Dokumente werden in absteigender Reihenfolge entsprechend ihrer Erfüllung von Relevanzkriterien ausgeben. In Online-Katalogen (OPACs) ist derlei noch nicht allgemein übliche Praxis, doch bietet etwa das im Österreichischen Bibliothekenverbund eingesetzte System Aleph 500 tatsächlich eine solche Ranking-Option an (die im Verbundkatalog auch implementiert ist). Bislang liegen allerdings kaum Informationen zur Funktionsweise dieses Features, insbesondere auch im Hinblick auf eine Hilfestellung für Benutzer, vor. Daher möchten wir mit diesem Beitrag versuchen, den in unserem Verbund bestehenden Informationsstand zum Thema "Relevance Ranking" zu erweitern. Sowohl die Verwendung einer Ranking-Option in OPACs generell als auch die sich unter Aleph 500 konkret bietenden Möglichkeiten sollen im folgenden näher betrachtet werden.
  14. Ding, Y.; Chowdhury, G.; Foo, S.: Organsising keywords in a Web search environment : a methodology based on co-word analysis (2000) 0.01
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    Theme
    Suchmaschinen
  15. Dominich, S.; Skrop, A.: PageRank and interaction information retrieval (2005) 0.01
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    Theme
    Suchmaschinen
  16. Radev, D.; Fan, W.; Qu, H.; Wu, H.; Grewal, A.: Probabilistic question answering on the Web (2005) 0.01
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    Theme
    Suchmaschinen
  17. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.01
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    Theme
    Suchmaschinen
  18. Fichtner, K.: Boyer-Moore Suchalgorithmus (2005) 0.01
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    Content
    Ausarbeitung im Rahmen des Seminars Suchmaschinen und Suchalgorithmen, Institut für Wirtschaftsinformatik Praktische Informatik in der Wirtschaft, Westfälische Wilhelms-Universität Münster. - Vgl.: http://www-wi.uni-muenster.de/pi/lehre/ss05/seminarSuchen/Ausarbeitungen/KristoferFichtner.pdf
  19. Ding, Y.; Yan, E.; Frazho, A.; Caverlee, J.: PageRank for ranking authors in co-citation networks (2009) 0.01
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    Theme
    Suchmaschinen
  20. Lanvent, A.: Licht im Daten Chaos (2004) 0.01
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    Content
    "Bitte suchen Sie alle Unterlagen, die im PC zum Ibelshäuser-Vertrag in Sprockhövel gespeichert sind. Finden Sie alles, was wir haben - Dokumente, Tabellen, Präsentationen, Scans, E-Mails. Und erledigen Sie das gleich! « Wer diese Aufgabe an das Windows-eigene Suchmodul vergibt, wird zwangsläufig enttäuscht. Denn das Betriebssystem beherrscht weder die formatübergreifende Recherche noch die Kontextsuche, die für solche komplexen Aufträge nötig sind. Professionelle Desktop-Suchmaschinen erledigen Aufgaben dieser Art jedoch im Handumdrehen - genauer gesagt in einer einzigen Sekunde. Spitzenprogramme wie Global Brain benötigen dafür nicht einmal umfangreiche Abfrageformulare. Es genügt, einen Satz im Eingabefeld zu formulieren, der das Thema der gewünschten Dokumente eingrenzt. Dabei suchen die Programme über alle Laufwerke, die sich auf dem System einbinden lassen - also auch im Netzwerk-Ordner (Shared Folder), sofern dieser freigegeben wurde. Allen Testkandidaten - mit Ausnahme von Search 32 - gemeinsam ist, dass sie weitaus bessere Rechercheergebnisse abliefern als Windows, deutlich schneller arbeiten und meist auch in den Online-Postfächern stöbern. Wer schon öfter vergeblich über die Windows-Suche nach wichtigen Dokumenten gefahndet hat, kommt angesichts der Qualität der Search-Engines kaum mehr um die Anschaffung eines Desktop-Suchtools herum. Aber Microsoft will nachbessern. Für den Windows-XP-Nachfolger Longhorn wirbt der Hersteller vor allem mit dem Hinweis auf das neue Dateisystem WinFS, das sämtliche Files auf der Festplatte über Meta-Tags indiziert und dem Anwender damit lange Suchläufe erspart. So sollen sich anders als bei Windows XP alle Dateien zu bestimmten Themen in wenigen Sekunden auflisten lassen - unabhängig vom Format und vom physikalischen Speicherort der Files. Für die Recherche selbst ist dann weder der Dateiname noch das Erstelldatum ausschlaggebend. Anhand der kontextsensitiven Suche von WinFS kann der Anwender einfach einen Suchbefehl wie »Vertragsabschluss mit Firma XYZ, Neunkirchen/Saar« eingeben, der dann ohne Umwege zum Ziel führt."
    Theme
    Suchmaschinen

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