Search (2 results, page 1 of 1)

  • × author_ss:"Fattahi, R."
  • × year_i:[2010 TO 2020}
  1. Arastoopoor, S.; Fattahi, R.: ¬A more effective Web search through developing a small thesaurus of non-topical terms : a proposed model to improve pertinence and retrieval relevance (2014) 0.02
    0.0177308 = product of:
      0.0531924 = sum of:
        0.043732185 = weight(_text_:searching in 1422) [ClassicSimilarity], result of:
          0.043732185 = score(doc=1422,freq=6.0), product of:
            0.14122958 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.03491209 = queryNorm
            0.30965313 = fieldWeight in 1422, product of:
              2.4494898 = tf(freq=6.0), with freq of:
                6.0 = termFreq=6.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.03125 = fieldNorm(doc=1422)
        0.009460213 = product of:
          0.018920425 = sum of:
            0.018920425 = weight(_text_:22 in 1422) [ClassicSimilarity], result of:
              0.018920425 = score(doc=1422,freq=2.0), product of:
                0.1222562 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03491209 = queryNorm
                0.15476047 = fieldWeight in 1422, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.03125 = fieldNorm(doc=1422)
          0.5 = coord(1/2)
      0.33333334 = coord(2/6)
    
    Abstract
    Purpose A higher level of retrieval relevance along with pertinence is what information systems are required to provide if they are to gain more user satisfaction. Although in almost every IR system, general and non-topical terms are not considered to play a major role in indexing, the underlying assumption of current study stems from the fact that these terms could be effective in better searching by end-users. Thus this paper aims at proposing a new approach in this regard using a small thesaurus of general and non-topical terms which can be used along with queries (i.e., topical keywords). This would help making users' queries closer to natural language. Method In the first phase of this study, a set of 669 non-topical terms, which were identified through a previous study, was assumed as the test bed. Based on the main goal of the present paper, the list was analyzed and divided into major categories. As for the second phase, a preferred label representing each category was selected and assigned based on its "use warrant"; and to this end Google Trends was applied for determining the most-frequent general and non-topical terms among users' web searches. At last the developed thesaurus was tested in searching and the retrieved results were evaluated in terms of relevance and pertinence. Results The findings of this study show that, although there is rather a diverse range of general and non-topical terms appearing before or after topical keywords in Web documents, users are still using no or only a small fracture of them in their search queries. The findings also show that these terms would be of great assistance in providing more relevant results and a meaningful display of the results. This paper then proposes a conceptual model for applying such a thesaurus in searching the Web.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
  2. Fattahi, R.; Dokhtesmati, M.; Saberi, M.: ¬A survey of internet searching skills among intermediate school students : how librarians can help (2010) 0.01
    0.005260164 = product of:
      0.031560984 = sum of:
        0.031560984 = weight(_text_:searching in 4673) [ClassicSimilarity], result of:
          0.031560984 = score(doc=4673,freq=2.0), product of:
            0.14122958 = queryWeight, product of:
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.03491209 = queryNorm
            0.22347288 = fieldWeight in 4673, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.0452914 = idf(docFreq=2103, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4673)
      0.16666667 = coord(1/6)