Search (40 results, page 1 of 2)

  • × language_ss:"e"
  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[2000 TO 2010}
  1. Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003) 0.07
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    Source
    Journal of information science. 29(2003) no.2, S.87-96
    Year
    2003
  2. Losada, D.E.; Barreiro, A.: Emebedding term similarity and inverse document frequency into a logical model of information retrieval (2003) 0.04
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    Date
    22. 3.2003 19:27:23
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.285-301
    Year
    2003
  3. Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003) 0.03
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    Date
    22. 3.2003 19:27:36
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.281-284
    Year
    2003
  4. Campos, L.M. de; Fernández-Luna, J.M.; Huete, J.F.: Implementing relevance feedback in the Bayesian network retrieval model (2003) 0.03
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    Date
    22. 3.2003 19:30:19
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.302-313
    Year
    2003
  5. Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.03
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    Date
    22. 3.2003 19:35:46
    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.321-334
    Year
    2003
  6. Furner, J.: ¬A unifying model of document relatedness for hybrid search engines (2003) 0.02
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    Date
    11. 9.2004 17:32:22
    Year
    2003
  7. Aizawa, A.: ¬An information-theoretic perspective of tf-idf measures (2003) 0.02
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    Source
    Information processing and management. 39(2003) no.1, S.45-65
    Year
    2003
  8. Heinz, S.; Zobel, J.: Efficient single-pass index construction for text databases (2003) 0.02
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.8, S.713-729
    Year
    2003
  9. López-Pujalte, C.; Guerrero-Bote, V.P.; Moya-Anegón, F. de: Genetic algorithms in relevance feedback : a second test and new contributions (2003) 0.02
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    Source
    Information processing and management. 39(2003) no.5, S.669-687
    Year
    2003
  10. Nie, J.-Y.: Query expansion and query translation as logical inference (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.335-346
    Year
    2003
  11. Thelwall, M.: Can Google's PageRank be used to find the most important academic Web pages? (2003) 0.01
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    Source
    Journal of documentation. 59(2003) no.2, S.205-217
    Year
    2003
  12. Picard, J.; Savoy, J.: Enhancing retrieval with hyperlinks : a general model based on propositional argumentation systems (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.347-355
    Year
    2003
  13. Chen, H.; Lally, A.M.; Zhu, B.; Chau, M.: HelpfulMed : Intelligent searching for medical information over the Internet (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.7, S.683-694
    Year
    2003
  14. Hoenkamp, E.: Unitary operators on the document space (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.4, S.314-320
    Year
    2003
  15. Watters, C.; Amoudi, A.: Geosearcher : location-based ranking of search engine results (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.2, S.140-151
    Year
    2003
  16. López-Pujalte, C.; Guerrero-Bote, V.P.; Moya-Anegón, F. de: Order-based fitness functions for genetic algorithms applied to relevance feedback (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.2, S.152-160
    Year
    2003
  17. Ruthven, T.; Lalmas, M.; Rijsbergen, K.van: Incorporating user research behavior into relevance feedback (2003) 0.01
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    Source
    Journal of the American Society for Information Science and technology. 54(2003) no.6, S.528-548
    Year
    2003
  18. Herrera-Viedma, E.; Cordón, O.; Herrera, J.C.; Luqe, M.: ¬An IRS based on multi-granular lnguistic information (2003) 0.01
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    Year
    2003
  19. Lopez-Pujalte, C.; Guerrero Bote, V.P.; Moya-Anegón, F. de: Evaluation of the application of genetic algorithms to relevance feedback (2003) 0.01
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    Year
    2003
  20. Bar-Ilan, J.; Levene, M.; Mat-Hassan, M.: Methods for evaluating dynamic changes in search engine rankings : a case study (2006) 0.01
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    Abstract
    Purpose - The objective of this paper is to characterize the changes in the rankings of the top ten results of major search engines over time and to compare the rankings between these engines. Design/methodology/approach - The papers compare rankings of the top-ten results of the search engines Google and AlltheWeb on ten identical queries over a period of three weeks. Only the top-ten results were considered, since users do not normally inspect more than the first results page returned by a search engine. The experiment was repeated twice, in October 2003 and in January 2004, in order to assess changes to the top-ten results of some of the queries during the three months interval. In order to assess the changes in the rankings, three measures were computed for each data collection point and each search engine. Findings - The findings in this paper show that the rankings of AlltheWeb were highly stable over each period, while the rankings of Google underwent constant yet minor changes, with occasional major ones. Changes over time can be explained by the dynamic nature of the web or by fluctuations in the search engines' indexes. The top-ten results of the two search engines had surprisingly low overlap. With such small overlap, the task of comparing the rankings of the two engines becomes extremely challenging. Originality/value - The paper shows that because of the abundance of information on the web, ranking search results is of extreme importance. The paper compares several measures for computing the similarity between rankings of search tools, and shows that none of the measures is fully satisfactory as a standalone measure. It also demonstrates the apparent differences in the ranking algorithms of two widely used search engines.

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