Search (3 results, page 1 of 1)

  • × author_ss:"Lu, K."
  • × year_i:[2010 TO 2020}
  1. Lu, K.; Kipp, M.E.I.: Understanding the retrieval effectiveness of collaborative tags and author keywords in different retrieval environments : an experimental study on medical collections (2014) 0.01 
    0.007438996 = product of:
  0.044633973 = sum of:
    0.044633973 = weight(_text_:searching in 1215) [ClassicSimilarity], result of:
      0.044633973 = score(doc=1215,freq=4.0), product of:
        0.14122958 = queryWeight, product of:
          4.0452914 = idf(docFreq=2103, maxDocs=44218)
          0.03491209 = queryNorm
        0.3160384 = fieldWeight in 1215, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.0452914 = idf(docFreq=2103, maxDocs=44218)
          0.0390625 = fieldNorm(doc=1215)
  0.16666667 = coord(1/6)
    Abstract
    This study investigates the retrieval effectiveness of collaborative tags and author keywords in different environments through controlled experiments. Three test collections were built. The first collection tests the impact of tags on retrieval performance when only the title and abstract are available (the abstract environment). The second tests the impact of tags when the full text is available (the full-text environment). The third compares the retrieval effectiveness of tags and author keywords in the abstract environment. In addition, both single-word queries and phrase queries are tested to understand the impact of different query types. Our findings suggest that including tags and author keywords in indexes can enhance recall but may improve or worsen average precision depending on retrieval environments and query types. Indexing tags and author keywords for searching using phrase queries in the abstract environment showed improved average precision, whereas indexing tags for searching using single-word queries in the full-text environment led to a significant drop in average precision. The comparison between tags and author keywords in the abstract environment indicates that they have comparable impact on average precision, but author keywords are more advantageous in enhancing recall. The findings from this study provide useful implications for designing retrieval systems that incorporate tags and author keywords.
  2. Mu, X.; Lu, K.; Ryu, H.: Explicitly integrating MeSH thesaurus help into health information retrieval systems : an empirical user study (2014) 0.01 
    0.007438996 = product of:
  0.044633973 = sum of:
    0.044633973 = weight(_text_:searching in 2703) [ClassicSimilarity], result of:
      0.044633973 = score(doc=2703,freq=4.0), product of:
        0.14122958 = queryWeight, product of:
          4.0452914 = idf(docFreq=2103, maxDocs=44218)
          0.03491209 = queryNorm
        0.3160384 = fieldWeight in 2703, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          4.0452914 = idf(docFreq=2103, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2703)
  0.16666667 = coord(1/6)
    Abstract
    When consumers search for health information, a major obstacle is their unfamiliarity with the medical terminology. Even though medical thesauri such as the Medical Subject Headings (MeSH) and related tools (e.g., the MeSH Browser) were created to help consumers find medical term definitions, the lack of direct and explicit integration of these help tools into a health retrieval system prevented them from effectively achieving their objectives. To explore this issue, we conducted an empirical study with two systems: One is a simple interface system supporting query-based searching; the other is an augmented system with two new components supporting MeSH term searching and MeSH tree browsing. A total of 45 subjects were recruited to participate in the study. The results indicated that the augmented system is more effective than the simple system in terms of improving user-perceived topic familiarity and question-answer performance, even though we did not find users spend more time on the augmented system. The two new MeSH help components played a critical role in participants' health information retrieval and were found to allow them to develop new search strategies. The findings of the study enhanced our understanding of consumers' search behaviors and shed light on the design of future health information retrieval systems.
  3. Ajiferuke, I.; Lu, K.; Wolfram, D.: ¬A comparison of citer and citation-based measure outcomes for multiple disciplines (2010) 0.00 
    0.0023650532 = product of:
  0.014190319 = sum of:
    0.014190319 = product of:
      0.028380638 = sum of:
        0.028380638 = weight(_text_:22 in 4000) [ClassicSimilarity], result of:
          0.028380638 = score(doc=4000,freq=2.0), product of:
            0.1222562 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.03491209 = queryNorm
            0.23214069 = fieldWeight in 4000, 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=4000)
      0.5 = coord(1/2)
  0.16666667 = coord(1/6)
    Date
    28. 9.2010 12:54:22

Authors

Themes