Search (23 results, page 2 of 2)

  • × author_ss:"Fidel, R."
  • × language_ss:"e"
  1. Fidel, R.: Qualitative methods in information retrieval research (1993) 0.00
    0.0016788795 = product of:
      0.003357759 = sum of:
        0.003357759 = product of:
          0.006715518 = sum of:
            0.006715518 = weight(_text_:a in 2289) [ClassicSimilarity], result of:
              0.006715518 = score(doc=2289,freq=6.0), product of:
                0.043477926 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.037706986 = queryNorm
                0.1544581 = fieldWeight in 2289, product of:
                  2.4494898 = tf(freq=6.0), with freq of:
                    6.0 = termFreq=6.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.0546875 = fieldNorm(doc=2289)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    This review of the literature shows that the number of research projects in information retrieval (IR) that employ qualitative methods is on the rise. Although no agreed-upon definition exists for the concept qualitative research, a number of typical characteristics describe its nature. Qualitative research is noncontrolling, holistic and case oriented, about processes, open and flexible, diverse in methods, humanistic, inductive, and scientific. Although these characteristics make qualitative methods the best for exploring human behavior in depth, and thus of great relevance to IR research, only a few studies present all of them. Doctoral students, librarians, and others who are intersted in qualitative methods have many sources for gaining support and guidance: methodological writings, textbooks and handbooks, and several deprtments at academic institutions
    Type
    a
  2. Fidel, R.: Database design for information retrieval : a conceptual approach (1987) 0.00
    0.0016616598 = product of:
      0.0033233196 = sum of:
        0.0033233196 = product of:
          0.006646639 = sum of:
            0.006646639 = weight(_text_:a in 8314) [ClassicSimilarity], result of:
              0.006646639 = score(doc=8314,freq=2.0), product of:
                0.043477926 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.037706986 = queryNorm
                0.15287387 = fieldWeight in 8314, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.09375 = fieldNorm(doc=8314)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
  3. Fidel, R.: ¬The image retrieval task : implications for the design and evaluation of image databases (1997) 0.00
    0.0016616598 = product of:
      0.0033233196 = sum of:
        0.0033233196 = product of:
          0.006646639 = sum of:
            0.006646639 = weight(_text_:a in 2885) [ClassicSimilarity], result of:
              0.006646639 = score(doc=2885,freq=8.0), product of:
                0.043477926 = queryWeight, product of:
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.037706986 = queryNorm
                0.15287387 = fieldWeight in 2885, product of:
                  2.828427 = tf(freq=8.0), with freq of:
                    8.0 = termFreq=8.0
                  1.153047 = idf(docFreq=37942, maxDocs=44218)
                  0.046875 = fieldNorm(doc=2885)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    A review of studies about searching beganiour in image retrieval suggests that retrieval tasks may affect searching behaviour. Retrieval tasks occur along a spectrum starting with the Data Pole, which involves retrieval of images for the information which the image include, and ending with the Objects Pole, which concerns the retrieval of images as objects. Each Pole generates a certain searching behaviour which has characteristics opposing those of the other pole. These characteristics suggest that: relevance feedback may not be useful for tasks on the Object Pole; measuring precision on the Data Pole should be replaced with another measurement of effort and time, while on the Objects Pole, the quality of browsing sets and the precision of the browsing process should be measured instead of precision; and recall is not useful for the Data Pole, and requires much exploration before it can be adopted for the Object Pole. Additional research in searching behaviour and about performance measurement will improve retrieval from image databases
    Type
    a