Search (8 results, page 1 of 1)

Hsueh, L.-K.: ¬The application of PRECIS in indexing Chinese documents : an experimental study (1993) 0.00
```
0.0020450184 = product of:
  0.016360147 = sum of:
    0.016360147 = product of:
      0.04908044 = sum of:
        0.04908044 = weight(_text_:problem in 6706) [ClassicSimilarity], result of:
          0.04908044 = score(doc=6706,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.375163 = fieldWeight in 6706, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0625 = fieldNorm(doc=6706)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
```
Abstract

Describes a study aimed at exploring possible applications for PRECIS for indexing Chinese documents, generating Chinses subject indexes, and for facilitating online information retrieval. A random sample of 498 Chinese subject indexing strings was taken from the Index to Chinese Periodical Literature and a comprehensive test of the PRECIS role operators was carried out. 18 problem areas were isolated and grouped into 8 categories. These problems stemmed mainly from syntactic differences between English and Chinese. Suggests modifications of and additions to the existing role operators and the accompanying software to overcome these problems
Tseng, Y.-H.: Keyword extraction techniques and relevance feedback (1997) 0.00
```
0.001789391 = product of:
  0.014315128 = sum of:
    0.014315128 = product of:
      0.042945385 = sum of:
        0.042945385 = weight(_text_:problem in 1830) [ClassicSimilarity], result of:
          0.042945385 = score(doc=1830,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.3282676 = fieldWeight in 1830, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1830)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
```
Abstract

Automatic keyword extraction is an important and fundamental technology in an advanced information retrieval systems. Briefly compares several major keyword extraction methods, lists their advantages and disadvantages, and reports recent research progress in Taiwan. Also describes the application of a keyword extraction algorithm in an information retrieval system for relevance feedback. Preliminary analysis shows that the error rate of extracting relevant keywords is 18%, and that the precision rate is over 50%. The main disadvantage of this approach is that the extraction results depend on the retrieval results, which in turn depend on the data held by the database. Apart from collecting more data, this problem can be alleviated by the application of a thesaurus constructed by the same keyword extraction algorithm
Yang, H.-W.: Information-seeking behavior of the scientists (1998) 0.00
```
0.001789391 = product of:
  0.014315128 = sum of:
    0.014315128 = product of:
      0.042945385 = sum of:
        0.042945385 = weight(_text_:problem in 2992) [ClassicSimilarity], result of:
          0.042945385 = score(doc=2992,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.3282676 = fieldWeight in 2992, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0546875 = fieldNorm(doc=2992)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
```
Abstract

A review of studies related to the information needs and communication behaviour of scientists which aims to explore the factors that influence their needs and methods of problem solving. Particular work environments affect needs. Information seeking and basic requirements are comprehensiveness, precision and availability. convenience of information access has a direct effect on the efficiency of a scientist's research but a lack of confidence in applying the solutions to information problems which are employed by librarians limits scientists to the more traditional ways of finding information in libraries. An awareness of this should lead librarians to improve collections and user services for the benefit of scientists and thus win their trust

Lee, Y.-R.: ¬A study on the conditions of using OPAC access points and subject searching by users (1997) 0.00

0.0013919937 = product of:
  0.01113595 = sum of:
    0.01113595 = product of:
      0.03340785 = sum of:
        0.03340785 = weight(_text_:22 in 933) [ClassicSimilarity], result of:
          0.03340785 = score(doc=933,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.30952093 = fieldWeight in 933, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=933)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Source: Bulletin of library and information science. 1997, no.22, S.39-55

Yi, H.; Shubai, L.: Application of classification in information organization under the networking environment (1998) 0.00

0.0013919937 = product of:
  0.01113595 = sum of:
    0.01113595 = product of:
      0.03340785 = sum of:
        0.03340785 = weight(_text_:22 in 3236) [ClassicSimilarity], result of:
          0.03340785 = score(doc=3236,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.30952093 = fieldWeight in 3236, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=3236)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Source: Journal of the China Society for Scientific and Technical Information. 17(1998) no.1, S.19-22

Lin, W.-Y.C.: ¬The concept and applications of faceted classifications (2006) 0.00

0.0013919937 = product of:
  0.01113595 = sum of:
    0.01113595 = product of:
      0.03340785 = sum of:
        0.03340785 = weight(_text_:22 in 5083) [ClassicSimilarity], result of:
          0.03340785 = score(doc=5083,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.30952093 = fieldWeight in 5083, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0625 = fieldNorm(doc=5083)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Date: 27. 5.2007 22:19:35

Tseng, Y.-H.: Solving vocabulary problems with interactive query expansion (1998) 0.00
```
0.0012781365 = product of:
  0.010225092 = sum of:
    0.010225092 = product of:
      0.030675275 = sum of:
        0.030675275 = weight(_text_:problem in 5159) [ClassicSimilarity], result of:
          0.030675275 = score(doc=5159,freq=2.0), product of:
            0.13082431 = queryWeight, product of:
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.030822188 = queryNorm
            0.23447686 = fieldWeight in 5159, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.244485 = idf(docFreq=1723, maxDocs=44218)
              0.0390625 = fieldNorm(doc=5159)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)
```
Abstract

One of the major causes of search failures in information retrieval systems is vocabulary mismatch. Presents a solution to the vocabulary problem through 2 strategies known as term suggestion (TS) and term relevance feedback (TRF). In TS, collection specific terms are extracted from the text collection. These terms and their frequencies constitute the keyword database for suggesting terms in response to users' queries. One effect of this term suggestion is that it functions as a dynamic directory if the query is a general term that contains broad meaning. In term relevance feedback, terms extracted from the top ranked documents retrieved from the previous query are shown to users for relevance feedback. In the experiment, interactive TS provides very high precision rates while achieving similar recall rates as n-gram matching. Local TRF achieves improvement in both precision and recall rate in a full text news database and degrades slightly in recall rate in bibliographic databases due to the very limited source of information for feedback. In terms of Rijsbergen's combined measure of recall and precision, both TS and TRF achieve better performance than n-gram matching, which implies that the greater improvement in precision rate compensates the slight degradation in recall rate for TS and TRF

Pu, H.-T.: Exploration of personalized information service for OPAC (1997) 0.00

0.0012179945 = product of:
  0.009743956 = sum of:
    0.009743956 = product of:
      0.029231867 = sum of:
        0.029231867 = weight(_text_:22 in 1772) [ClassicSimilarity], result of:
          0.029231867 = score(doc=1772,freq=2.0), product of:
            0.10793405 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.030822188 = queryNorm
            0.2708308 = fieldWeight in 1772, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0546875 = fieldNorm(doc=1772)
      0.33333334 = coord(1/3)
  0.125 = coord(1/8)

Date: 4. 8.1998 19:36:22

Search (8 results, page 1 of 1)

Authors

Years

Themes