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  • × author_ss:"Lewandowski, D."
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  1. Lewandowski, D.: Was Google nicht kann, aber Yahoo (2004) 0.01
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    Password. 2004, H.11, S.42
  2. Lewandowski, D.; Kerkmann, F.; Rümmele, S.; Sünkler, S.: ¬An empirical investigation on search engine ad disclosure (2018) 0.01
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    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.420-437
  3. Lewandowski, D.; Krewinkel, A.; Gleissner, M.; Osterode, D.; Tolg, B.; Holle, M.; Sünkler, S.: Entwicklung und Anwendung einer Software zur automatisierten Kontrolle des Lebensmittelmarktes im Internet mit informationswissenschaftlichen Methoden (2019) 0.01
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    Information - Wissenschaft und Praxis. 70(2019) H.1, S.33-45
  4. Lewandowski, D.: Suchmaschinen als Konkurrenten der Bibliothekskataloge : Wie Bibliotheken ihre Angebote durch Suchmaschinentechnologie attraktiver und durch Öffnung für die allgemeinen Suchmaschinen populärer machen können (2006) 0.01
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    Zeitschrift für Bibliothekswesen und Bibliographie. 53(2006) H.2, S.71-78
  5. Lewandowski, D.: Perspektiven eines Open Web Index (2016) 0.01
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    Information - Wissenschaft und Praxis. 67(2016) H.1, S.15-21
  6. Behnert, C.; Plassmeier, K.; Borst, T.; Lewandowski, D.: Evaluierung von Rankingverfahren für bibliothekarische Informationssysteme (2019) 0.01
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    Information - Wissenschaft und Praxis. 70(2019) H.1, S.14-23
  7. Struß, J.M.; Lewandowski, D.: Methoden in der Informationswissenschaft (2023) 0.01
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  8. Lewandowski, D.; Womser-Hacker, C.: Information seeking behaviour (2023) 0.01
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  9. Lewandowski, D.; Sünkler, S.; Hanisch, F.: Anzeigenkennzeichnung auf Suchergebnisseiten : Empirische Ergebnisse und Implikationen für die Forschung (2019) 0.01
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    Information - Wissenschaft und Praxis. 70(2019) H.1, S.3-14
  10. Lewandowski, D.; Sünkler, S.: ¬Das Relevance Assessment Tool : eine modulare Software zur Unterstützung bei der Durchführung vielfältiger Studien mit Suchmaschinen (2019) 0.01
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  11. Lewandowski, D.: Bewertung von linktopologischen Verfahren als bestimmender Ranking-Faktor bei WWW Suchmaschinen (2006) 0.01
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  12. Lewandowski, D.: Mit welchen Kennzahlen lässt sich die Qualität von Suchmaschinen messen? (2007) 0.01
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  13. Lewandowski, D.: Suchmaschinen (2023) 0.01
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  14. Lewandowski, D.: Nachweis deutschsprachiger bibliotheks- und informationswissenschaftlicher Aufsätze in Google Scholar (2007) 0.01
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    Information - Wissenschaft und Praxis. 58(2007) H.3, S.165-168
  15. Sundin, O.; Lewandowski, D.; Haider, J.: Whose relevance? : Web search engines as multisided relevance machines (2022) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 73(2022) no.5, S.637-642
  16. Lewandowski, D.: Open-Access-Archiv für Bibliotheks- und Informationswissenschaft (2004) 0.01
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    Language
    d
    Source
    Bibliotheksdienst. 38(2004) H.9, S.1156
  17. Lewandowski, D.: ¬A framework for evaluating the retrieval effectiveness of search engines (2012) 0.00
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    Pages
    S.456-479
  18. Lewandowski, D.: Evaluating the retrieval effectiveness of web search engines using a representative query sample (2015) 0.00
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    Source
    Journal of the Association for Information Science and Technology. 66(2015) no.9, S.1763-1775
  19. Lewandowski, D.: Web Information Retrieval (2005) 0.00
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    Abstract
    WebInformationRetrieval hat sich als gesonderter Forschungsbereich herausgebildet. Neben den im klassischen Information Retrieval behandelten Fragen ergeben sich durch die Eigenheiten des Web neue und zusätzliche Forschungsfragen. Die Unterschiede zwischen Information Retrieval und Web Information Retrieval werden diskutiert. Derzweite Teil des Aufsatzes gibt einen Überblick über die Forschungsliteratur der letzten zwei Jahre. Dieser Aufsatz gibt einen Überblick über den Stand der Forschung im Bereich Web Information Retrieval. Im ersten Teil werden die besonderen Probleme, die sich in diesem Bereich ergeben, anhand einer Gegenüberstellung mit dem "klassischen" Information Retrieval erläutert. Der weitere Text diskutiert die wichtigste in den letzten Jahren erschienene Literatur zum Thema, wobei ein Schwerpunkt auf die - so vorhanden-deutschsprachige Literatur gelegt wird. Der Schwerpunkt liegt auf Literatur aus den Jahren 2003 und 2004. Zum einen zeigt sich in dem betrachteten Forschungsfeld eine schnelle Entwicklung, so dass viele ältere Untersuchungen nur noch einen historischen bzw. methodischen Wert haben; andererseits existieren umfassende ältere Reviewartikel (s. v.a. Rasmussen 2003). Schon bei der Durchsicht der Literatur wird allerdings deutlich, dass zu einigen Themenfeldern keine oder nur wenig deutschsprachige Literatur vorhanden ist. Leider ist dies aber nicht nur darauf zurückzuführen, dass die Autoren aus den deutschsprachigen Ländern ihre Ergebnisse in englischer Sprache publizieren. Vielmehr wird deutlich, dass in diesen Ländern nur wenig Forschung im Suchmaschinen-Bereich stattfindet. Insbesondere zu sprachspezifischen Problemen von Web-Suchmaschinen fehlen Untersuchungen. Ein weiteres Problem der Forschung im Suchmaschinen-Bereich liegt in der Tatsache begründet, dass diese zu einem großen Teil innerhalb von Unternehmen stattfindet, welche sich scheuen, die Ergebnisse in großem Umfang zu publizieren, da sie fürchten, die Konkurrenz könnte von solchen Veröffentlichungen profitieren. So finden sich etwa auch Vergleichszahlen über einzelne Suchmaschinen oft nur innerhalb von Vorträgen oder Präsentationen von Firmenvertretern (z.B. Singhal 2004; Dean 2004). Das Hauptaugenmerk dieses Artikels liegt auf der Frage, inwieweit Suchmaschinen in der Lage sind, die im Web vorhanden Inhalte zu indexieren, mit welchen Methoden sie dies tun und ob bzw. wie sie ihre Ziele erreichen. Ausgenommen bleiben damit explizit Fragen der Effizienz bei der Erschließung des Web und der Skalierbarkeit von Suchmaschinen. Anders formuliert: Diese Übersicht orientiert sich an klassisch informationswissenschaftlichen Fragen und spart die eher im Bereich der Informatik diskutierten Fragen weitgehend aus.
    Language
    d
    Source
    Information - Wissenschaft und Praxis. 56(2005) H.1, S.5-12
  20. Lewandowski, D.; Drechsler, J.; Mach, S. von: Deriving query intents from web search engine queries (2012) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 63(2012) no.9, S.1773-1788