Search (4 results, page 1 of 1)

  • × theme_ss:"Social tagging"
  • × year_i:[2010 TO 2020}
  1. Yi, K.: Harnessing collective intelligence in social tagging using Delicious (2012) 0.06
    0.06395733 = product of:
      0.12791467 = sum of:
        0.12791467 = sum of:
          0.093669325 = weight(_text_:200 in 515) [ClassicSimilarity], result of:
            0.093669325 = score(doc=515,freq=2.0), product of:
              0.2927719 = queryWeight, product of:
                5.7915254 = idf(docFreq=366, maxDocs=44218)
                0.050551776 = queryNorm
              0.31993958 = fieldWeight in 515, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                5.7915254 = idf(docFreq=366, maxDocs=44218)
                0.0390625 = fieldNorm(doc=515)
          0.03424534 = weight(_text_:22 in 515) [ClassicSimilarity], result of:
            0.03424534 = score(doc=515,freq=2.0), product of:
              0.17702371 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.050551776 = queryNorm
              0.19345059 = fieldWeight in 515, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.0390625 = fieldNorm(doc=515)
      0.5 = coord(1/2)
    
    Abstract
    A new collaborative approach in information organization and sharing has recently arisen, known as collaborative tagging or social indexing. A key element of collaborative tagging is the concept of collective intelligence (CI), which is a shared intelligence among all participants. This research investigates the phenomenon of social tagging in the context of CI with the aim to serve as a stepping-stone towards the mining of truly valuable social tags for web resources. This study focuses on assessing and evaluating the degree of CI embedded in social tagging over time in terms of two-parameter values, number of participants, and top frequency ranking window. Five different metrics were adopted and utilized for assessing the similarity between ranking lists: overlapList, overlapRank, Footrule, Fagin's measure, and the Inverse Rank measure. The result of this study demonstrates that a substantial degree of CI is most likely to be achieved when somewhere between the first 200 and 400 people have participated in tagging, and that a target degree of CI can be projected by controlling the two factors along with the selection of a similarity metric. The study also tests some experimental conditions for detecting social tags with high CI degree. The results of this study can be applicable to the study of filtering social tags based on CI; filtered social tags may be utilized for the metadata creation of tagged resources and possibly for the retrieval of tagged resources.
    Date
    25.12.2012 15:22:37
  2. Niemann, C.: Tag-Science : Ein Analysemodell zur Nutzbarkeit von Tagging-Daten (2011) 0.01
    0.010273602 = product of:
      0.020547204 = sum of:
        0.020547204 = product of:
          0.041094407 = sum of:
            0.041094407 = weight(_text_:22 in 164) [ClassicSimilarity], result of:
              0.041094407 = score(doc=164,freq=2.0), product of:
                0.17702371 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050551776 = queryNorm
                0.23214069 = fieldWeight in 164, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.046875 = fieldNorm(doc=164)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Source
    ¬Die Kraft der digitalen Unordnung: 32. Arbeits- und Fortbildungstagung der ASpB e. V., Sektion 5 im Deutschen Bibliotheksverband, 22.-25. September 2009 in der Universität Karlsruhe. Hrsg: Jadwiga Warmbrunn u.a
  3. Choi, Y.; Syn, S.Y.: Characteristics of tagging behavior in digitized humanities online collections (2016) 0.01
    0.008561335 = product of:
      0.01712267 = sum of:
        0.01712267 = product of:
          0.03424534 = sum of:
            0.03424534 = weight(_text_:22 in 2891) [ClassicSimilarity], result of:
              0.03424534 = score(doc=2891,freq=2.0), product of:
                0.17702371 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050551776 = queryNorm
                0.19345059 = fieldWeight in 2891, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=2891)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    21. 4.2016 11:23:22
  4. Qin, C.; Liu, Y.; Mou, J.; Chen, J.: User adoption of a hybrid social tagging approach in an online knowledge community (2019) 0.01
    0.008561335 = product of:
      0.01712267 = sum of:
        0.01712267 = product of:
          0.03424534 = sum of:
            0.03424534 = weight(_text_:22 in 5492) [ClassicSimilarity], result of:
              0.03424534 = score(doc=5492,freq=2.0), product of:
                0.17702371 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.050551776 = queryNorm
                0.19345059 = fieldWeight in 5492, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5492)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Date
    20. 1.2015 18:30:22

Authors

Languages