Search (5 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[2010 TO 2020}
  1. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.00 
    0.0014717856 = product of:
  0.017661426 = sum of:
    0.017661426 = product of:
      0.035322852 = sum of:
        0.035322852 = weight(_text_:22 in 1431) [ClassicSimilarity], result of:
          0.035322852 = score(doc=1431,freq=2.0), product of:
            0.11412105 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.032588977 = queryNorm
            0.30952093 = fieldWeight in 1431, 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=1431)
      0.5 = coord(1/2)
  0.083333336 = coord(1/12)
    Date
    22. 8.2014 17:05:18
  2. Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015) 0.00 
    0.0013075785 = product of:
  0.015690941 = sum of:
    0.015690941 = weight(_text_:internet in 2696) [ClassicSimilarity], result of:
      0.015690941 = score(doc=2696,freq=2.0), product of:
        0.09621047 = queryWeight, product of:
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.032588977 = queryNorm
        0.16308975 = fieldWeight in 2696, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          2.9522398 = idf(docFreq=6276, maxDocs=44218)
          0.0390625 = fieldNorm(doc=2696)
  0.083333336 = coord(1/12)
    Abstract
    Search Engines have become an integral part of our day to day life. Our reliance on search engines increases with every passing day. With the amount of data available on Internet increasing exponentially, it becomes important to develop new methods and tools that help to return results relevant to the queries and reduce the time spent on searching. The results should be diverse but at the same time should return results focused on the queries asked. Relation Based Page Rank [4] algorithms are considered to be the next frontier in improvement of Semantic Web Search. The probability of finding relevance in the search results as posited by the user while entering the query is used to measure the relevance. However, its application is limited by the complexity of determining relation between the terms and assigning explicit meaning to each term. Trust Rank is one of the most widely used ranking algorithms for semantic web search. Few other ranking algorithms like HITS algorithm, PageRank algorithm are also used for Semantic Web Searching. In this paper, we will provide a comparison of few ranking approaches.
  3. Ravana, S.D.; Rajagopal, P.; Balakrishnan, V.: Ranking retrieval systems using pseudo relevance judgments (2015) 0.00 
    0.001300887 = product of:
  0.015610643 = sum of:
    0.015610643 = product of:
      0.031221285 = sum of:
        0.031221285 = weight(_text_:22 in 2591) [ClassicSimilarity], result of:
          0.031221285 = score(doc=2591,freq=4.0), product of:
            0.11412105 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.032588977 = queryNorm
            0.27358043 = fieldWeight in 2591, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=2591)
      0.5 = coord(1/2)
  0.083333336 = coord(1/12)
    Date
    20. 1.2015 18:30:22
    18. 9.2018 18:22:56
  4. Baloh, P.; Desouza, K.C.; Hackney, R.: Contextualizing organizational interventions of knowledge management systems : a design science perspectiveA domain analysis (2012) 0.00 
    9.19866E-4 = product of:
  0.011038392 = sum of:
    0.011038392 = product of:
      0.022076784 = sum of:
        0.022076784 = weight(_text_:22 in 241) [ClassicSimilarity], result of:
          0.022076784 = score(doc=241,freq=2.0), product of:
            0.11412105 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.032588977 = queryNorm
            0.19345059 = fieldWeight in 241, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=241)
      0.5 = coord(1/2)
  0.083333336 = coord(1/12)
    Date
    11. 6.2012 14:22:34
  5. Soulier, L.; Jabeur, L.B.; Tamine, L.; Bahsoun, W.: On ranking relevant entities in heterogeneous networks using a language-based model (2013) 0.00 
    9.19866E-4 = product of:
  0.011038392 = sum of:
    0.011038392 = product of:
      0.022076784 = sum of:
        0.022076784 = weight(_text_:22 in 664) [ClassicSimilarity], result of:
          0.022076784 = score(doc=664,freq=2.0), product of:
            0.11412105 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.032588977 = queryNorm
            0.19345059 = fieldWeight in 664, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=664)
      0.5 = coord(1/2)
  0.083333336 = coord(1/12)
    Date
    22. 3.2013 19:34:49

Authors

Themes