Search (16 results, page 1 of 1)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[2010 TO 2020}
  1. Fuhr, N.: Modelle im Information Retrieval (2013) 0.00 
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    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
  2. Hora, M.: Methoden für das Ranking in Discovery-Systemen (2018) 0.00 
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    Content
    Vgl.: https://journals.ub.uni-heidelberg.de/index.php/bibliothek/article/view/57797. Vgl. auch: URN (PDF): http://nbn-resolving.de/urn:nbn:de:bsz:16-pb-577977.
    Source
    Perspektive Bibliothek. 7(2018) H.2, S.2-23
  3. Mayr, P.: Bradfordizing mit Katalogdaten : Alternative Sicht auf Suchergebnisse und Publikationsquellen durch Re-Ranking (2010) 0.00 
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    Series
    Lesesaal: Der Katalog der Zukunft
  4. Oberhauser, O.: Relevance Ranking in den Online-Katalogen der "nächsten Generation" (2010) 0.00 
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    Abstract
    Relevance Ranking in Online-Katalogen ist zwar kein neues Thema, doch liegt dazu nicht allzu viel Literatur vor, die das Prädikat "ernstzunehmen" verdient. Dies ist zum einen darin begründet, dass das Interesse an der Ausgabe ranggereihter Ergebnislisten auf Seiten aller Beteiligter (Bibliothekare, Softwarehersteller, Benutzer) traditionell gering war. Zum anderen ging die seit einigen Jahren populär gewordene Kritik an den bestehenden OPACs vielfach von einer unzureichenden Wissensbasis aus und produzierte oft nur polemische oder emotional gefärbte Beiträge, die zum Thema Ranking wenig beitrugen. ... Der hier beschriebene Test ist natürlich in keiner Weise erschöpfend oder repräsentativ. Dennoch gibt er, wie ich glaube, Anlass zu einiger Hoffnung. Er lässt vermuten, dass die "neuen" OPACs - zumindest was das Relevance Ranking betrifft - auf dem Weg in die richtige Richtung sind. Wie gut es wirklich gelingen wird, die Rankingleistung von Suchmaschinen wie Google, die unter völlig anderen Voraussetzungen arbeiten, einzuholen, wird aber erst die Zukunft zeigen.
  5. Behnert, C.; Borst, T.: Neue Formen der Relevanz-Sortierung in bibliothekarischen Informationssystemen : das DFG-Projekt LibRank (2015) 0.00 
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    Source
    Bibliothek: Forschung und Praxis. 39(2015) H.3, S.384-393
  6. 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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    Date
    29. 6.2013 18:06:23
  7. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.00 
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    Date
    22. 8.2014 17:05:18
  8. Tober, M.; Hennig, L.; Furch, D.: SEO Ranking-Faktoren und Rang-Korrelationen 2014 : Google Deutschland (2014) 0.00 
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    Date
    13. 9.2014 14:45:22
  9. Ravana, S.D.; Rajagopal, P.; Balakrishnan, V.: Ranking retrieval systems using pseudo relevance judgments (2015) 0.00 
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    Date
    20. 1.2015 18:30:22
    18. 9.2018 18:22:56
  10. Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011) 0.00 
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    Date
    9. 2.2011 17:47:29
  11. Costa Carvalho, A. da; Rossi, C.; Moura, E.S. de; Silva, A.S. da; Fernandes, D.: LePrEF: Learn to precompute evidence fusion for efficient query evaluation (2012) 0.00 
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    Date
    24. 6.2012 14:29:10
  12. Silva, R.M.; Gonçalves, M.A.; Veloso, A.: ¬A Two-stage active learning method for learning to rank (2014) 0.00 
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    Date
    26. 1.2014 20:29:57
  13. Zhu, J.; Han, L.; Gou, Z.; Yuan, X.: ¬A fuzzy clustering-based denoising model for evaluating uncertainty in collaborative filtering recommender systems (2018) 0.00 
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    Date
    29. 9.2018 12:32:59
  14. Baloh, P.; Desouza, K.C.; Hackney, R.: Contextualizing organizational interventions of knowledge management systems : a design science perspectiveA domain analysis (2012) 0.00 
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    Date
    11. 6.2012 14:22:34
  15. Soulier, L.; Jabeur, L.B.; Tamine, L.; Bahsoun, W.: On ranking relevant entities in heterogeneous networks using a language-based model (2013) 0.00 
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    Date
    22. 3.2013 19:34:49
  16. Ayadi, H.; Torjmen-Khemakhem, M.; Daoud, M.; Xiangji Huang, J.; Ben Jemaa, M.: MF-Re-Rank : a modality feature-based re-ranking model for medical image retrieval (2018) 0.00 
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    Date
    29. 9.2018 11:43:31

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