Search (5 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × author_ss:"Mayr, P."
  1. Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016) 0.07
    0.073910534 = product of:
      0.1108658 = sum of:
        0.07501928 = weight(_text_:search in 3144) [ClassicSimilarity], result of:
          0.07501928 = score(doc=3144,freq=10.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.4293381 = fieldWeight in 3144, product of:
              3.1622777 = tf(freq=10.0), with freq of:
                10.0 = termFreq=10.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0390625 = fieldNorm(doc=3144)
        0.03584652 = product of:
          0.07169304 = sum of:
            0.07169304 = weight(_text_:engines in 3144) [ClassicSimilarity], result of:
              0.07169304 = score(doc=3144,freq=2.0), product of:
                0.25542772 = queryWeight, product of:
                  5.080822 = idf(docFreq=746, maxDocs=44218)
                  0.05027291 = queryNorm
                0.2806784 = fieldWeight in 3144, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  5.080822 = idf(docFreq=746, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=3144)
          0.5 = coord(1/2)
      0.6666667 = coord(2/3)
    
    Abstract
    Users of web search engines are known to mostly focus on the top ranked results of the search engine result page. While many studies support this well known information seeking pattern only few studies concentrate on the question what users are missing by neglecting lower ranked results. To learn more about the relevance distributions in the so-called long tail we conducted a relevance assessment study with the Million Short long-tail web search engine. While we see a clear difference in the content between the head and the tail of the search engine result list we see no statistical significant differences in the binary relevance judgments and weak significant differences when using graded relevance. The tail contains different but still valuable results. We argue that the long tail can be a rich source for the diversification of web search engine result lists but it needs more evaluation to clearly describe the differences.
  2. Mayr, P.; Mutschke, P.; Petras, V.; Schaer, P.; Sure, Y.: Applying science models for search (2010) 0.03
    0.025304725 = product of:
      0.075914174 = sum of:
        0.075914174 = weight(_text_:search in 4663) [ClassicSimilarity], result of:
          0.075914174 = score(doc=4663,freq=4.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.43445963 = fieldWeight in 4663, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0625 = fieldNorm(doc=4663)
      0.33333334 = coord(1/3)
    
    Abstract
    The paper proposes three different kinds of science models as value-added services that are integrated in the retrieval process to enhance retrieval quailty. The paper discusses the approaches Search Term Recommendation, Bradfordizing and Author Centrality on a general level and addresses implementation issues of the models within a real-life retrieval environment.
  3. Mutschke, P.; Mayr, P.: Science models for search : a study on combining scholarly information retrieval and scientometrics (2015) 0.02
    0.022366427 = product of:
      0.06709928 = sum of:
        0.06709928 = weight(_text_:search in 1695) [ClassicSimilarity], result of:
          0.06709928 = score(doc=1695,freq=2.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.3840117 = fieldWeight in 1695, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.078125 = fieldNorm(doc=1695)
      0.33333334 = coord(1/3)
    
  4. Mayr, P.; Mutschke, P.; Schaer, P.; Sure, Y.: Mehrwertdienste für das Information Retrieval (2013) 0.02
    0.015656501 = product of:
      0.0469695 = sum of:
        0.0469695 = weight(_text_:search in 935) [ClassicSimilarity], result of:
          0.0469695 = score(doc=935,freq=2.0), product of:
            0.1747324 = queryWeight, product of:
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.05027291 = queryNorm
            0.2688082 = fieldWeight in 935, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.475677 = idf(docFreq=3718, maxDocs=44218)
              0.0546875 = fieldNorm(doc=935)
      0.33333334 = coord(1/3)
    
    Abstract
    Ziel des Projekts ist die Entwicklung und Erprobung von metadatenbasierten Mehr-wertdiensten für Retrievalumgebungen mit mehreren Datenbanken: a) Search Term Recommender (STR) als Dienst zum automatischen Vorschlagen von Suchbegriffen aus kontrollierten Vokabularen, b) Bradfordizing als Dienst zum Re-Ranking von Ergebnismengen nach Kernzeitschriften und c) Autorenzentralität als Dienst zum Re-Ranking von. Ergebnismengen nach Zentralität der Autoren in Autorennetzwerken. Schwerpunkt des Projektes ist die prototypische mplementierung der drei Mehrwertdienste in einer integrierten Retrieval-Testumgebung und insbesondere deren quantitative und qualitative Evaluation hinsichtlich Verbesserung der Retrievalqualität bei Einsatz der Mehrwertdienste.
  5. Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012) 0.01
    0.0068112854 = product of:
      0.020433856 = sum of:
        0.020433856 = product of:
          0.040867712 = sum of:
            0.040867712 = weight(_text_:22 in 328) [ClassicSimilarity], result of:
              0.040867712 = score(doc=328,freq=2.0), product of:
                0.17604718 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.05027291 = queryNorm
                0.23214069 = fieldWeight in 328, 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=328)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Date
    22. 7.2012 19:25:54

Languages

Types