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  • × author_ss:"Lewandowski, D."
  1. Lewandowski, D.: Alles nur noch Google? : Entwicklungen im Bereich der WWW-Suchmaschinen (2002) 0.04 
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    Date
    29. 9.2002 18:49:22
    Source
    BuB. 54(2002) H.9, S.558-561
    Type
    a
  2. Lewandowski, D.: Abfragesprachen und erweiterte Funktionen von WWW-Suchmaschinen (2004) 0.04 
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    Date
    28.11.2004 13:11:22
    Source
    Information - Wissenschaft und Praxis. 55(2004) H.2, S.97-102
    Type
    a
  3. Lewandowski, D.: ¬Die Macht der Suchmaschinen und ihr Einfluss auf unsere Entscheidungen (2014) 0.03 
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    Date
    22. 9.2014 18:54:11
    Source
    Information - Wissenschaft und Praxis. 65(2014) H.4/5, S.231-238
    Type
    a
  4. Lewandowski, D.: Query understanding (2011) 0.02 
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    Date
    18. 9.2018 18:22:18
    Type
    a
  5. Lewandowski, D.; Spree, U.: ¬Die Forschungsgruppe Search Studies an der HAW Hamburg (2019) 0.02 
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    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.1-2
    Type
    a
  6. Lewandowski, D.; Spree, U.: Ranking of Wikipedia articles in search engines revisited : fair ranking for reasonable quality? (2011) 0.01 
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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.
    Date
    30. 9.2012 19:27:22
    Type
    a
  7. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.01 
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    Abstract
    Purpose The purpose of this paper is to describe a new method to improve the analysis of search engine results by considering the provider level as well as the domain level. This approach is tested by conducting a study using queries on the topic of insurance comparisons. Design/methodology/approach The authors conducted an empirical study that analyses the results of search queries aimed at comparing insurance companies. The authors used a self-developed software system that automatically queries commercial search engines and automatically extracts the content of the returned result pages for further data analysis. The data analysis was carried out using the KNIME Analytics Platform. Findings Google's top search results are served by only a few providers that frequently appear in these results. The authors show that some providers operate several domains on the same topic and that these domains appear for the same queries in the result lists. Research limitations/implications The authors demonstrate the feasibility of this approach and draw conclusions for further investigations from the empirical study. However, the study is a limited use case based on a limited number of search queries. Originality/value The proposed method allows large-scale analysis of the composition of the top results from commercial search engines. It allows using valid empirical data to determine what users actually see on the search engine result pages.
    Date
    20. 1.2015 18:30:22
    Type
    a
  8. Lewandowski, D.: Desktop-Suche, Shortcuts, SMS (2004) 0.01 
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    Source
    Password. 2004, H.11, S.40-41
    Type
    a
  9. Lewandowski, D.: Neue Themen der Informationswissenschaft sind nicht zu erkennen (2004) 0.01 
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    Source
    Password. 2004, H.12, S.8-10
    Type
    a
  10. Lewandowski, D.: Spezialsuche für wissenschaftliche Informationen (2004) 0.01 
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    Source
    Password. 2004, H.12, S.24
    Type
    a
  11. Lewandowski, D.: Start der eigenen Suchmaschine als Beta-Version (2004) 0.01 
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    Password. 2004, H.12, S.25
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  12. Lewandowski, D.: Freiwillige Selbstkontrolle, Stärkung "alternativer Suchmaschinen" : Suchmaschinen und Politik (2005) 0.01 
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    Password. 2005, H.4, S.19
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  13. Lewandowski, D.: Neue Suchmaschinen, neue Datenbestände, Desktop-Suche, Shortcuts (2005) 0.01 
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  14. Lewandowski, D.: Informationsarmut : sowohl ein quantitatives als auch ein qualitatives Problem (1999) 0.01 
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  15. Lewandowski, D.: Wie können sich Bibliotheken gegenüber Wissenschaftssuchmaschinen positionieren? (2007) 0.01 
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  16. Lewandowski, D.: "Find what I mean not what I say" : Neuere Ansätze zur Qualifizierung von Suchmaschinen-Ergebnissen (2001) 0.01 
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  17. Lewandowski, D.: Aktualität als erfolgskritischer Faktor bei Suchmaschinen (2006) 0.01 
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  18. Lewandowski, D.: Was Google nicht kann, aber Yahoo (2004) 0.01 
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  19. 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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  20. Lewandowski, D.: Nachweis deutschsprachiger bibliotheks- und informationswissenschaftlicher Aufsätze in Google Scholar (2007) 0.01 
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