Search (3 results, page 1 of 1)

  • × theme_ss:"Suchmaschinen"
  • × year_i:[2020 TO 2030}
  1. Haring, M.; Rudaev, A.; Lewandowski, D.: Google & Co. : wie die "Search Studies" an der HAW Hamburg unserem Nutzungsverhalten auf den Zahn fühlen: Blickpunkt angewandte Forschung (2022) 0.01
    0.009858803 = product of:
      0.07887042 = sum of:
        0.07887042 = weight(_text_:studies in 630) [ClassicSimilarity], result of:
          0.07887042 = score(doc=630,freq=4.0), product of:
            0.15812531 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.03962768 = queryNorm
            0.4987843 = fieldWeight in 630, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0625 = fieldNorm(doc=630)
      0.125 = coord(1/8)
    
    Abstract
    Die Forschungsgruppe Search Studies forscht an der HAW Hamburg zur Nutzung kommerzieller Suchmaschinen, zur Suchmaschinenoptimierung und zum Relevance Assessment von Suchmaschinen. Der Leiter der Forschungsgruppe, Prof. Dr. Dirk Lewandowski, stand für ein Interview zu seiner Tätigkeit und der seines Teams, sowie seiner Lehre an der HAW Hamburg zur Verfügung. Sollten wir Informationen aus dem Internet vertrauen oder ist Vorsicht angebracht?
  2. Vegt, A. van der; Zuccon, G.; Koopman, B.: Do better search engines really equate to better clinical decisions? : If not, why not? (2021) 0.00
    0.0043570166 = product of:
      0.034856133 = sum of:
        0.034856133 = weight(_text_:studies in 150) [ClassicSimilarity], result of:
          0.034856133 = score(doc=150,freq=2.0), product of:
            0.15812531 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.03962768 = queryNorm
            0.22043361 = fieldWeight in 150, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=150)
      0.125 = coord(1/8)
    
    Abstract
    Previous research has found that improved search engine effectiveness-evaluated using a batch-style approach-does not always translate to significant improvements in user task performance; however, these prior studies focused on simple recall and precision-based search tasks. We investigated the same relationship, but for realistic, complex search tasks required in clinical decision making. One hundred and nine clinicians and final year medical students answered 16 clinical questions. Although the search engine did improve answer accuracy by 20 percentage points, there was no significant difference when participants used a more effective, state-of-the-art search engine. We also found that the search engine effectiveness difference, identified in the lab, was diminished by around 70% when the search engines were used with real users. Despite the aid of the search engine, half of the clinical questions were answered incorrectly. We further identified the relative contribution of search engine effectiveness to the overall end task success. We found that the ability to interpret documents correctly was a much more important factor impacting task success. If these findings are representative, information retrieval research may need to reorient its emphasis towards helping users to better understand information, rather than just finding it for them.
  3. Ogden, J.; Summers, E.; Walker, S.: Know(ing) Infrastructure : the wayback machine as object and instrument of digital research (2023) 0.00
    0.0043570166 = product of:
      0.034856133 = sum of:
        0.034856133 = weight(_text_:studies in 1084) [ClassicSimilarity], result of:
          0.034856133 = score(doc=1084,freq=2.0), product of:
            0.15812531 = queryWeight, product of:
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.03962768 = queryNorm
            0.22043361 = fieldWeight in 1084, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.9902744 = idf(docFreq=2222, maxDocs=44218)
              0.0390625 = fieldNorm(doc=1084)
      0.125 = coord(1/8)
    
    Abstract
    From documenting human rights abuses to studying online advertising, web archives are increasingly positioned as critical resources for a broad range of scholarly Internet research agendas. In this article, we reflect on the motivations and methodological challenges of investigating the world's largest web archive, the Internet Archive's Wayback Machine (IAWM). Using a mixed methods approach, we report on a pilot project centred around documenting the inner workings of 'Save Page Now' (SPN) - an Internet Archive tool that allows users to initiate the creation and storage of 'snapshots' of web resources. By improving our understanding of SPN and its role in shaping the IAWM, this work examines how the public tool is being used to 'save the Web' and highlights the challenges of operationalising a study of the dynamic sociotechnical processes supporting this knowledge infrastructure. Inspired by existing Science and Technology Studies (STS) approaches, the paper charts our development of methodological interventions to support an interdisciplinary investigation of SPN, including: ethnographic methods, 'experimental blackbox tactics', data tracing, modelling and documentary research. We discuss the opportunities and limitations of our methodology when interfacing with issues associated with temporality, scale and visibility, as well as critically engage with our own positionality in the research process (in terms of expertise and access). We conclude with reflections on the implications of digital STS approaches for 'knowing infrastructure', where the use of these infrastructures is unavoidably intertwined with our ability to study the situated and material arrangements of their creation.

Languages

Types