Search (95 results, page 2 of 5)

  • × theme_ss:"Retrievalalgorithmen"
  1. Witschel, H.F.: Global term weights in distributed environments (2008) 0.01
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    Date
    1. 8.2008 9:44:22
  2. Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.01
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    Date
    16.11.2008 16:22:48
  3. Campos, L.M. de; Fernández-Luna, J.M.; Huete, J.F.: Implementing relevance feedback in the Bayesian network retrieval model (2003) 0.01
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    Date
    22. 3.2003 19:30:19
  4. Harper, D.J.: Relevance feedback in document retrieval (1980) 0.01
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    Type
    d
  5. Burgin, R.: ¬The retrieval effectiveness of 5 clustering algorithms as a function of indexing exhaustivity (1995) 0.01
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    Date
    22. 2.1996 11:20:06
  6. Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995) 0.01
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    Date
    22. 2.1996 13:14:10
  7. Dominich, S.: Mathematical foundations of information retrieval (2001) 0.01
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    Date
    22. 3.2008 12:26:32
  8. Baloh, P.; Desouza, K.C.; Hackney, R.: Contextualizing organizational interventions of knowledge management systems : a design science perspectiveA domain analysis (2012) 0.01
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    Date
    11. 6.2012 14:22:34
  9. Soulier, L.; Jabeur, L.B.; Tamine, L.; Bahsoun, W.: On ranking relevant entities in heterogeneous networks using a language-based model (2013) 0.01
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    Date
    22. 3.2013 19:34:49
  10. Chen, Z.; Fu, B.: On the complexity of Rocchio's similarity-based relevance feedback algorithm (2007) 0.01
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    Abstract
    Rocchio's similarity-based relevance feedback algorithm, one of the most important query reformation methods in information retrieval, is essentially an adaptive learning algorithm from examples in searching for documents represented by a linear classifier. Despite its popularity in various applications, there is little rigorous analysis of its learning complexity in literature. In this article, the authors prove for the first time that the learning complexity of Rocchio's algorithm is O(d + d**2(log d + log n)) over the discretized vector space {0, ... , n - 1 }**d when the inner product similarity measure is used. The upper bound on the learning complexity for searching for documents represented by a monotone linear classifier (q, 0) over {0, ... , n - 1 }d can be improved to, at most, 1 + 2k (n - 1) (log d + log(n - 1)), where k is the number of nonzero components in q. Several lower bounds on the learning complexity are also obtained for Rocchio's algorithm. For example, the authors prove that Rocchio's algorithm has a lower bound Omega((d über 2)log n) on its learning complexity over the Boolean vector space {0,1}**d.
  11. Dreßler, H.: Fuzzy Information Retrieval (2008) 0.01
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    Abstract
    Nach einer Erläuterung der Grundlagen der Fuzzylogik wird das Prinzip der unscharfen Suche dargestellt und die Unterschiede zum herkömmlichen Information Retrieval beschrieben. Am Beispiel der Suche nach Steinen für ein Mauerwerk wird gezeigt, wie eine unscharfe Suche in der D&WFuzzydatenbank erfolgreich durchgeführt werden kann und zu eindeutigen Ergebnissen führt.
    Language
    d
  12. Fuhr, N.: Modelle im Information Retrieval (2013) 0.01
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    Language
    d
    Source
    Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
  13. Zhang, D.; Dong, Y.: ¬An effective algorithm to rank Web resources (2000) 0.01
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  14. Savoy, J.; Ndarugendamwo, M.; Vrajitoru, D.: Report on the TREC-4 experiment : combining probabilistic and vector-space schemes (1996) 0.01
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  15. White, H. D.: Co-cited author retrieval and relevance theory : examples from the humanities (2015) 0.01
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  16. Khoo, C.S.G.; Wan, K.-W.: ¬A simple relevancy-ranking strategy for an interface to Boolean OPACs (2004) 0.01
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    Source
    Electronic library. 22(2004) no.2, S.112-120
  17. Chakrabarti, S.; Dom, B.; Kumar, S.R.; Raghavan, P.; Rajagopalan, S.; Tomkins, A.; Kleinberg, J.M.; Gibson, D.: Neue Pfade durch den Internet-Dschungel : Die zweite Generation von Web-Suchmaschinen (1999) 0.00
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  18. Maylein, L.; Langenstein, A.: Neues vom Relevanz-Ranking im HEIDI-Katalog der Universitätsbibliothek Heidelberg : Perspektiven für bibliothekarische Dienstleistungen (2013) 0.00
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    Language
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  19. Elsweiler, D.; Kruschwitz, U.: Interaktives Information Retrieval (2023) 0.00
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  20. Bauckhage, C.: Marginalizing over the PageRank damping factor (2014) 0.00
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Years

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  • d 40
  • pt 1
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Types

  • a 79
  • x 7
  • el 3
  • m 3
  • r 2
  • s 2
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