Search (3 results, page 1 of 1)

  • × author_ss:"Kim, M."
  1. Chang, Y.; Ounis, I.; Kim, M.: Query reformulation using automatically generated query concepts from a document space (2006) 0.00 
    0.002321206 = product of:
  0.009284824 = sum of:
    0.009284824 = weight(_text_:information in 972) [ClassicSimilarity], result of:
      0.009284824 = score(doc=972,freq=4.0), product of:
        0.056416616 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03213747 = queryNorm
        0.16457605 = fieldWeight in 972, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=972)
  0.25 = coord(1/4)
    Abstract
    We propose a new query reformulation approach, using a set of query concepts that are introduced to precisely denote the user's information need. Since a document collection is considered to be a domain which includes latent primitive concepts, we identify those concepts through a local pattern discovery and a global modeling using data mining techniques. For a new query, we select its most associated primitive concepts and choose the most probable interpretations as query concepts. We discuss the issue of constructing the primitive concepts from either the whole corpus or from the retrieved set of documents. Our experiments are performed on the TREC8 collection. The experimental evaluation shows that our approach is as good as current query reformulation approaches, while being particularly effective for poorly performing queries. Moreover, we find that the approach using the primitive concepts generated from the set of retrieved documents leads to the most effective performance.
    Source
    Information processing and management. 42(2006) no.2, S.453-468
  2. Lim, J.; Kang, S.; Kim, M.: Automatic user preference learning for personalized electronic program guide applications (2007) 0.00 
    0.0016413406 = product of:
  0.006565362 = sum of:
    0.006565362 = weight(_text_:information in 476) [ClassicSimilarity], result of:
      0.006565362 = score(doc=476,freq=2.0), product of:
        0.056416616 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03213747 = queryNorm
        0.116372846 = fieldWeight in 476, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=476)
  0.25 = coord(1/4)
    Source
    Journal of the American Society for Information Science and Technology. 58(2007) no.9, S.1346-1356
  3. Kim, M.; Baek, I.; Song, M.: Topic diffusion analysis of a weighted citation network in biomedical literature (2018) 0.00 
    0.0016413406 = product of:
  0.006565362 = sum of:
    0.006565362 = weight(_text_:information in 4036) [ClassicSimilarity], result of:
      0.006565362 = score(doc=4036,freq=2.0), product of:
        0.056416616 = queryWeight, product of:
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.03213747 = queryNorm
        0.116372846 = fieldWeight in 4036, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          1.7554779 = idf(docFreq=20772, maxDocs=44218)
          0.046875 = fieldNorm(doc=4036)
  0.25 = coord(1/4)
    Source
    Journal of the Association for Information Science and Technology. 69(2018) no.2, S.329-342

Authors

Years

Themes