Search (17 results, page 1 of 1)

  • × classification_ss:"ST 205"
  • × year_i:[2000 TO 2010}
  1. Rosenfeld, L.; Morville, P.: Information architecture for the World Wide Web : designing large-scale Web sites (2007) 0.01 
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    22. 3.2008 16:18:27
  2. Erlhofer, S.: Suchmaschinen-Optimierung für Webentwickler : Grundlagen, Funktionsweisen und Ranking-Optimierung (2005) 0.00 
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  3. Web-2.0-Dienste als Ergänzung zu algorithmischen Suchmaschinen (2008) 0.00 
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    Editor
    Lewandowski, D. u. C. Maaß
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  4. Erlhofer, S.: Suchmaschinen-Optimierung für Webentwickler : Grundlagen, Ranking optimieren, Tipps und Tricks; Neu: Keyword-Recherche, TYPO3-Optimierung, Usability (2006) 0.00 
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  5. Köchert, R.: Auf der Suche im Internet : Die Etrusker-Spitzmaus - Online-Wissen effizient abrufen und nutzen (2005) 0.00 
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  6. Block, C.H.: ¬Das Intranet : die neue Informationsverarbeitung (2004) 0.00 
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  7. Suchen und Finden im Internet (2007) 0.00 
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  8. Hübener, M.: Suchmaschinenoptimierung kompakt : anwendungsorientierte Techniken für die Praxis (2009) 0.00 
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  9. Hüsken, P.: Informationssuche im Semantic Web : Methoden des Information Retrieval für die Wissensrepräsentation (2006) 0.00 
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  10. Alby, T.; Karzauninkat, S.: Suchmaschinenoptimierung : professionelles Website-Marketing für besseres Ranking ; [berücksichtigt Google Analytics] (2007) 0.00 
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  11. Widhalm, R.; Mück, T.: Topic maps : Semantische Suche im Internet (2002) 0.00 
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  12. Hassler, M.: Web analytics : Metriken auswerten, Besucherverhalten verstehen, Website optimieren ; [Metriken analysieren und interpretieren ; Besucherverhalten verstehen und auswerten ; Website-Ziele definieren, Webauftritt optimieren und den Erfolg steigern] (2009) 0.00 
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  13. Alby, T.: Web 2.0 : Konzepte, Anwendungen, Technologien; [ajax, api, atom, blog, folksonomy, feeds, long tail, mashup, permalink, podcast, rich user experience, rss, social software, tagging] (2007) 0.00 
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  14. Alby, T.: Web 2.0 : Konzepte, Anwendungen, Technologien; [ajax, api, atom, blog, folksonomy, feeds, long tail, mashup, permalink, podcast, rich user experience, rss, social software, tagging] (2007) 0.00 
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  15. Social Semantic Web : Web 2.0, was nun? (2009) 0.00 
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  16. Spink, A.; Jansen, B.J.: Web searching : public searching of the Web (2004) 0.00 
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    Footnote
    Rez. in: Information - Wissenschaft und Praxis 56(2004) H.1, S.61-62 (D. Lewandowski): "Die Autoren des vorliegenden Bandes haben sich in den letzten Jahren durch ihre zahlreichen Veröffentlichungen zum Verhalten von Suchmaschinen-Nutzern einen guten Namen gemacht. Das nun erschienene Buch bietet eine Zusammenfassung der verstreut publizierten Aufsätze und stellt deren Ergebnisse in den Kontext eines umfassenderen Forschungsansatzes. Spink und Jansen verwenden zur Analyse des Nutzungsverhaltens query logs von Suchmaschinen. In diesen werden vom Server Informationen protokolliert, die die Anfragen an diesen Server betreffen. Daten, die aus diesen Dateien gewonnen werden können, sind unter anderem die gestellten Suchanfragen, die Adresse des Rechners, von dem aus die Anfrage gestellt wurde, sowie die aus den Trefferlisten ausgewählten Dokumente. Der klare Vorteil der Analyse von Logfiles liegt in der Möglichkeit, große Datenmengen ohne hohen personellen Aufwand erheben zu können. Die Daten einer Vielzahl anonymer Nutzer können analysiert werden; ohne dass dabei die Datenerhebung das Nutzerverhalten beeinflusst. Dies ist bei Suchmaschinen von besonderer Bedeutung, weil sie im Gegensatz zu den meisten anderen professionellen Information-Retrieval-Systemen nicht nur im beruflichen Kontext, sondern auch (und vor allem) privat genutzt werden. Das Bild des Nutzungsverhaltens wird in Umfragen und Laboruntersuchungen verfälscht, weil Nutzer ihr Anfrageverhalten falsch einschätzen oder aber die Themen ihrer Anfragen nicht nennen möchten. Hier ist vor allem an Suchanfragen, die auf medizinische oder pornographische Inhalte gerichtet sind, zu denken. Die Analyse von Logfiles ist allerdings auch mit Problemen behaftet: So sind nicht alle gewünschten Daten überhaupt in den Logfiles enthalten (es fehlen alle Informationen über den einzelnen Nutzer), es werden keine qualitativen Informationen wie etwa der Grund einer Suche erfasst und die Logfiles sind aufgrund technischer Gegebenheiten teils unvollständig. Die Autoren schließen aus den genannten Vor- und Nachteilen, dass sich Logfiles gut für die Auswertung des Nutzerverhaltens eignen, bei der Auswertung jedoch die Ergebnisse von Untersuchungen, welche andere Methoden verwenden, berücksichtigt werden sollten.
  17. Web 2.0 in der Unternehmenspraxis : Grundlagen, Fallstudien und Trends zum Einsatz von Social-Software (2009) 0.00 
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