Search (3 results, page 1 of 1)

  • × author_ss:"Kerkmann, F."
  • × theme_ss:"Suchmaschinen"
  • × year_i:[2010 TO 2020}
  1. Sünkler, S.; Kerkmann, F.; Schultheiß, S.: Ok Google . the end of search as we know it : sprachgesteuerte Websuche im Test (2018) 0.02
    0.018205054 = product of:
      0.054615162 = sum of:
        0.054615162 = weight(_text_:im in 5626) [ClassicSimilarity], result of:
          0.054615162 = score(doc=5626,freq=6.0), product of:
            0.1442303 = queryWeight, product of:
              2.8267863 = idf(docFreq=7115, maxDocs=44218)
              0.051022716 = queryNorm
            0.37866634 = fieldWeight in 5626, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              2.8267863 = idf(docFreq=7115, maxDocs=44218)
              0.0546875 = fieldNorm(doc=5626)
      0.33333334 = coord(1/3)
    
    Abstract
    Sprachsteuerungssysteme, die den Nutzer auf Zuruf unterstützen, werden im Zuge der Verbreitung von Smartphones und Lautsprechersystemen wie Amazon Echo oder Google Home zunehmend populär. Eine der zentralen Anwendungen dabei stellt die Suche in Websuchmaschinen dar. Wie aber funktioniert "googlen", wenn der Nutzer seine Suchanfrage nicht schreibt, sondern spricht? Dieser Frage ist ein Projektteam der HAW Hamburg nachgegangen und hat im Auftrag der Deutschen Telekom untersucht, wie effektiv, effizient und zufriedenstellend Google Now, Apple Siri, Microsoft Cortana sowie das Amazon Fire OS arbeiten. Ermittelt wurden Stärken und Schwächen der Systeme sowie Erfolgskriterien für eine hohe Gebrauchstauglichkeit. Diese Erkenntnisse mündeten in dem Prototyp einer optimalen Voice Web Search.
  2. Sünkler, S.; Kerkmann, F.: How to do ... ? : Konzeption einer Spezialsuchmaschine für Tutorials (2016) 0.00
    0.004615356 = product of:
      0.013846068 = sum of:
        0.013846068 = product of:
          0.0415382 = sum of:
            0.0415382 = weight(_text_:online in 2570) [ClassicSimilarity], result of:
              0.0415382 = score(doc=2570,freq=2.0), product of:
                0.1548489 = queryWeight, product of:
                  3.0349014 = idf(docFreq=5778, maxDocs=44218)
                  0.051022716 = queryNorm
                0.2682499 = fieldWeight in 2570, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.0349014 = idf(docFreq=5778, maxDocs=44218)
                  0.0625 = fieldNorm(doc=2570)
          0.33333334 = coord(1/3)
      0.33333334 = coord(1/3)
    
    Source
    B.I.T. Online. 19(2016) H.4, S.321-327
  3. 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
    0.0040794373 = product of:
      0.012238312 = sum of:
        0.012238312 = product of:
          0.036714934 = sum of:
            0.036714934 = weight(_text_:online in 3567) [ClassicSimilarity], result of:
              0.036714934 = score(doc=3567,freq=4.0), product of:
                0.1548489 = queryWeight, product of:
                  3.0349014 = idf(docFreq=5778, maxDocs=44218)
                  0.051022716 = queryNorm
                0.23710167 = fieldWeight in 3567, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.0349014 = idf(docFreq=5778, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3567)
          0.33333334 = coord(1/3)
      0.33333334 = coord(1/3)
    
    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.

Languages