Search (9 results, page 1 of 1)

  • × author_ss:"Sünkler, S."
  • × year_i:[2010 TO 2020}
  1. 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 
    0.0025760243 = product of:
  0.010304097 = sum of:
    0.010304097 = weight(_text_:information in 3567) [ClassicSimilarity], result of:
      0.010304097 = score(doc=3567,freq=6.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.16796975 = fieldWeight in 3567, product of:
          2.4494898 = tf(freq=6.0), with freq of:
            6.0 = termFreq=6.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3567)
  0.25 = coord(1/4)
    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
  2. 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 
    0.0025239778 = product of:
  0.010095911 = sum of:
    0.010095911 = weight(_text_:information in 5025) [ClassicSimilarity], result of:
      0.010095911 = score(doc=5025,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.16457605 = fieldWeight in 5025, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=5025)
  0.25 = coord(1/4)
    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
  3. Lewandowski, D.; Sünkler, S.: What does Google recommend when you want to compare insurance offerings? (2019) 0.00 
    0.0021033147 = product of:
  0.008413259 = sum of:
    0.008413259 = weight(_text_:information in 5288) [ClassicSimilarity], result of:
      0.008413259 = score(doc=5288,freq=4.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.13714671 = fieldWeight in 5288, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=5288)
  0.25 = coord(1/4)
    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
  4. Lewandowski, D.; Kerkmann, F.; Rümmele, S.; Sünkler, S.: ¬An empirical investigation on search engine ad disclosure (2018) 0.00 
    0.0020821756 = product of:
  0.008328702 = sum of:
    0.008328702 = weight(_text_:information in 4115) [ClassicSimilarity], result of:
      0.008328702 = score(doc=4115,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.13576832 = fieldWeight in 4115, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4115)
  0.25 = coord(1/4)
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.3, S.420-437
  5. Kerkmann, F.; Sünkler, S.; Schultheiß, S.: ¬Die Suche nach dem "Wie..." : Tutorials als Gegenstand der Suche (2017) 0.00 
    0.0017847219 = product of:
  0.0071388874 = sum of:
    0.0071388874 = weight(_text_:information in 3550) [ClassicSimilarity], result of:
      0.0071388874 = score(doc=3550,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.116372846 = fieldWeight in 3550, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=3550)
  0.25 = coord(1/4)
    Source
    Information - Wissenschaft und Praxis. 68(2017) H.1, S.58-66
  6. Lewandowski, D.; Sünkler, S.; Hanisch, F.: Anzeigenkennzeichnung auf Suchergebnisseiten : Empirische Ergebnisse und Implikationen für die Forschung (2019) 0.00 
    0.0017847219 = product of:
  0.0071388874 = sum of:
    0.0071388874 = weight(_text_:information in 5022) [ClassicSimilarity], result of:
      0.0071388874 = score(doc=5022,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.116372846 = fieldWeight in 5022, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=5022)
  0.25 = coord(1/4)
    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.3-14
  7. Lewandowski, D.; Sünkler, S.: ¬Das Relevance Assessment Tool : eine modulare Software zur Unterstützung bei der Durchführung vielfältiger Studien mit Suchmaschinen (2019) 0.00 
    0.0017847219 = product of:
  0.0071388874 = sum of:
    0.0071388874 = weight(_text_:information in 5026) [ClassicSimilarity], result of:
      0.0071388874 = score(doc=5026,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.116372846 = fieldWeight in 5026, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=5026)
  0.25 = coord(1/4)
    Source
    Information - Wissenschaft und Praxis. 70(2019) H.1, S.46-56
  8. Sünkler, S.: Prototypische Entwicklung einer Software für die Erfassung und Analyse explorativer Suchen in Verbindung mit Tests zur Retrievaleffektivität (2012) 0.00 
    0.0014872681 = product of:
  0.0059490725 = sum of:
    0.0059490725 = weight(_text_:information in 479) [ClassicSimilarity], result of:
      0.0059490725 = score(doc=479,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.09697737 = fieldWeight in 479, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=479)
  0.25 = coord(1/4)
    Imprint
    Hamburg : HAW, Department Information
  9. Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016) 0.00 
    0.0014872681 = product of:
  0.0059490725 = sum of:
    0.0059490725 = weight(_text_:information in 3144) [ClassicSimilarity], result of:
      0.0059490725 = score(doc=3144,freq=2.0), product of:
        0.06134496 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.034944877 = queryNorm
        0.09697737 = fieldWeight in 3144, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.0390625 = fieldNorm(doc=3144)
  0.25 = coord(1/4)
    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.

Authors

Languages

Types

Themes