Search (19 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × author_ss:"Lewandowski, D."
  1. Lewandowski, D.; Haustein, S.: What does the German-language information science community cite? (2015) 0.01 
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    Re:inventing information science in the networked society: Proceedings of the 14th International Symposium on Information Science, Zadar/Croatia, 19th-21st May 2015. Eds.: F. Pehar, C. Schloegl u. C. Wolff
  2. Behnert, C.; Lewandowski, D.: ¬A framework for designing retrieval effectiveness studies of library information systems using human relevance assessments (2017) 0.00 
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    Abstract
    Purpose This paper demonstrates how to apply traditional information retrieval evaluation methods based on standards from the Text REtrieval Conference (TREC) and web search evaluation to all types of modern library information systems including online public access catalogs, discovery systems, and digital libraries that provide web search features to gather information from heterogeneous sources. Design/methodology/approach We apply conventional procedures from information retrieval evaluation to the library information system context considering the specific characteristics of modern library materials. Findings We introduce a framework consisting of five parts: (1) search queries, (2) search results, (3) assessors, (4) testing, and (5) data analysis. We show how to deal with comparability problems resulting from diverse document types, e.g., electronic articles vs. printed monographs and what issues need to be considered for retrieval tests in the library context. Practical implications The framework can be used as a guideline for conducting retrieval effectiveness studies in the library context. Originality/value Although a considerable amount of research has been done on information retrieval evaluation, and standards for conducting retrieval effectiveness studies do exist, to our knowledge this is the first attempt to provide a systematic framework for evaluating the retrieval effectiveness of twenty-first-century library information systems. We demonstrate which issues must be considered and what decisions must be made by researchers prior to a retrieval test.
  3. Lewandowski, D.; Spree, U.: ¬Die Forschungsgruppe Search Studies an der HAW Hamburg (2019) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.1-2
  4. Lewandowski, D.: Suchmaschinen (2013) 0.00 
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    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
  5. Lewandowski, D.; Sünkler, S.; Kerkmann, F.: Are ads on Google search engine results pages labeled clearly enough? : the influence of knowledge on search ads on users' selection behaviour (2017) 0.00 
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    Abstract
    In an online experiment using a representative sample of the German online population (n = 1.000), we compare users' selection behaviour on two versions of the same Google search engine results page (SERP), one showing advertisements and organic results, the other showing organic results only. Selection behaviour is analyzed in relation to users' knowledge on Google's business model, on SERP design, and on these users' actual performance in marking advertisements on SERPs correctly. We find that users who were not able to mark ads correctly selected ads significantly more often. This leads to the conclusion that ads need to be labeled more clearly, and that there is a need for more information literacy in search engine users.
    Source
    Everything changes, everything stays the same? - Understanding information spaces : Proceedings of the 15th International Symposium of Information Science (ISI 2017), Berlin/Germany, 13th - 15th March 2017. Eds.: M. Gäde, V. Trkulja u. V. Petras
  6. Lewandowski, D.: ¬A framework for evaluating the retrieval effectiveness of search engines (2012) 0.00 
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    Abstract
    This chapter presents a theoretical framework for evaluating next generation search engines. The author focuses on search engines whose results presentation is enriched with additional information and does not merely present the usual list of "10 blue links," that is, of ten links to results, accompanied by a short description. While Web search is used as an example here, the framework can easily be applied to search engines in any other area. The framework not only addresses the results presentation, but also takes into account an extension of the general design of retrieval effectiveness tests. The chapter examines the ways in which this design might influence the results of such studies and how a reliable test is best designed.
    Source
    Next generation search engines: advanced models for information retrieval. Eds.: C. Jouis, u.a
  7. 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) 0.00 
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    Abstract
    In diesem Artikel präsentieren wir die Durchführung und die Ergebnisse eines interdisziplinären Forschungsprojekts zum Thema automatisierte Lebensmittelkontrolle im Web. Es wurden Kompetenzen aus den Disziplinen Lebensmittelwissenschaft, Rechtswissenschaft, Informationswissenschaft und Informatik dazu genutzt, ein detailliertes Konzept und einen Software-Prototypen zu entwickeln, um das Internet nach Produktangeboten zu durchsuchen, die gegen das Lebensmittelrecht verstoßen. Dabei wird deutlich, wie ein solcher Anwendungsfall von den Methoden der Information-Retrieval-Evaluierung profitiert, und wie sich mit relativ geringem Aufwand eine flexible Software programmieren lässt, die auch für eine Vielzahl anderer Fragestellungen einsetzbar ist. Die Ergebnisse des Projekts zeigen, wie komplexe Arbeitsprozesse einer Behörde mit Hilfe der Methoden von Retrieval-Tests und gängigen Verfahren aus dem maschinellen Lernen effektiv und effizient unterstützt werden können.
    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.33-45
  8. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.00 
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    Abstract
    This paper aims to review the fiercely discussed question of whether the ranking of Wikipedia articles in search engines is justified by the quality of the articles. After an overview of current research on information quality in Wikipedia, a summary of the extended discussion on the quality of encyclopedic entries in general is given. On this basis, a heuristic method for evaluating Wikipedia entries is developed and applied to Wikipedia articles that scored highly in a search engine retrieval effectiveness test and compared with the relevance judgment of jurors. In all search engines tested, Wikipedia results are unanimously judged better by the jurors than other results on the corresponding results position. Relevance judgments often roughly correspond with the results from the heuristic evaluation. Cases in which high relevance judgments are not in accordance with the comparatively low score from the heuristic evaluation are interpreted as an indicator of a high degree of trust in Wikipedia. One of the systemic shortcomings of Wikipedia lies in its necessarily incoherent user model. A further tuning of the suggested criteria catalog, for instance, the different weighing of the supplied criteria, could serve as a starting point for a user model differentiated evaluation of Wikipedia articles. Approved methods of quality evaluation of reference works are applied to Wikipedia articles and integrated with the question of search engine evaluation.
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.1, S.117-132
  9. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.00 
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    Footnote
    Beitrag in einem Special Issue: Information Science in the German-speaking Countries
    Source
    Aslib journal of information management. 71(2019) no.3, S.310-324
  10. Lewandowski, D.: Perspektiven eines Open Web Index (2016) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 67(2016) H.1, S.15-21
  11. Lewandowski, D.; Kerkmann, F.; Rümmele, S.; Sünkler, S.: ¬An empirical investigation on search engine ad disclosure (2018) 0.00 
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    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.420-437
  12. Behnert, C.; Plassmeier, K.; Borst, T.; Lewandowski, D.: Evaluierung von Rankingverfahren für bibliothekarische Informationssysteme (2019) 0.00 
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    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.14-23
  13. Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014) 0.00 
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    Information - Wissenschaft und Praxis. 65(2014) H.4/5, S.231-238
  14. 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
  15. Lewandowski, D.; Sünkler, S.; Hanisch, F.: Anzeigenkennzeichnung auf Suchergebnisseiten : Empirische Ergebnisse und Implikationen für die Forschung (2019) 0.00 
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    Information - Wissenschaft und Praxis. 70(2019) H.1, S.3-14
  16. Lewandowski, D.; Sünkler, S.: ¬Das Relevance Assessment Tool : eine modulare Software zur Unterstützung bei der Durchführung vielfältiger Studien mit Suchmaschinen (2019) 0.00 
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    Information - Wissenschaft und Praxis. 70(2019) H.1, S.46-56
  17. 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
  18. Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016) 0.00 
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    Abstract
    Users of web search engines are known to mostly focus on the top ranked results of the search engine result page. While many studies support this well known information seeking pattern only few studies concentrate on the question what users are missing by neglecting lower ranked results. To learn more about the relevance distributions in the so-called long tail we conducted a relevance assessment study with the Million Short long-tail web search engine. While we see a clear difference in the content between the head and the tail of the search engine result list we see no statistical significant differences in the binary relevance judgments and weak significant differences when using graded relevance. The tail contains different but still valuable results. We argue that the long tail can be a rich source for the diversification of web search engine result lists but it needs more evaluation to clearly describe the differences.
  19. Lewandowski, D.: ¬Die Informationswissenschaft hat ein strukturelles, kein inhaltliches Problem : Ein Sechs-Punkte-Programm, um aus dem Status eines kleinen Faches herauszukommen (2019) 0.00 
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    Content
    Vgl. auch die Stellungnahme von W. Bredemeier in: Open Password. Nr.676 vom 10.12.2019 u.d.T.: Fehlende Theorie und fehlender Bezugsrahmen auch bei "Human Recorded Information": Fahrlässige Aufgabe des einzigen Alleinstellungsmerkmals, den die Disziplin von vornherein hatte, Die Informationswissenschaft als Hügellandschaft mit "Stand-alone-USPs" [https://www.password-online.de/?wysija-page=1&controller=email&action=view&email_id=833&wysijap=subscriptions&user_id=1045]. Vgl. auch den Bericht über die Berliner Tagung von Stefan Hauff-Hartwig in: Bibliotheksdienst 54(2020) H.1, S.27- . Vgl. auch die Erwiderung: Jörs, B.: Wider eine Überschätzung der gegenwärtigen Leistungen der deutschsprachigen Informationswissenschaft: Keine fehlende Fundierung? Doch mit gesellschaftlicher Relevanz ausgestattet?. Bernd Jörs antwortet Dirk Lewandowski. In: Open Password. Nr. 691 vom 21.01.2020, [https://www.password- online.de/?mailpoet_router&endpoint=view_in_browser&action=view&data=WzksMCw2MjY0LCIxMjF0dWVibnVuczBra2dnY2d3d2c0ODB3ODgwazRzYyIsOCwwXQ].

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