Search (12 results, page 1 of 1)

  • × year_i:[2010 TO 2020}
  • × theme_ss:"Retrievalalgorithmen"
  1. Hora, M.: Methoden für das Ranking in Discovery-Systemen (2018) 0.01
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    Abstract
    Discovery-Systeme bieten meist als Standardeinstellung eine Sortierung nach Relevanz an. Wie die Relevanz ermittelt wird, ist häufig intransparent. Dabei wären Kenntnisse darüber aus Nutzersicht ein wichtiger Faktor in der Informationskompetenz, während Bibliotheken sicherstellen sollten, dass das Ranking zum eigenen Bestand und Publikum passt. In diesem Aufsatz wird dargestellt, wie Discovery-Systeme Treffer auswählen und bewerten. Dazu gehören Indexierung, Prozessierung, Text-Matching und weitere Relevanzkriterien, z. B. Popularität oder Verfügbarkeit. Schließlich müssen alle betrachteten Kriterien zu einem zentralen Score zusammengefasst werden. Ein besonderer Fokus wird auf das Ranking von EBSCO Discovery Service, Primo und Summon gelegt.
  2. Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011) 0.01
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    Abstract
    In diesem Artikel wird ein Re-Ranking-Ansatz für Suchsysteme vorgestellt, der die Recherche nach wissenschaftlicher Literatur messbar verbessern kann. Das nichttextorientierte Rankingverfahren Bradfordizing wird eingeführt und anschließend im empirischen Teil des Artikels bzgl. der Effektivität für typische fachbezogene Recherche-Topics evaluiert. Dem Bradford Law of Scattering (BLS), auf dem Bradfordizing basiert, liegt zugrunde, dass sich die Literatur zu einem beliebigen Fachgebiet bzw. -thema in Zonen unterschiedlicher Dokumentenkonzentration verteilt. Dem Kernbereich mit hoher Konzentration der Literatur folgen Bereiche mit mittlerer und geringer Konzentration. Bradfordizing sortiert bzw. rankt eine Dokumentmenge damit nach den sogenannten Kernzeitschriften. Der Retrievaltest mit 164 intellektuell bewerteten Fragestellungen in Fachdatenbanken aus den Bereichen Sozial- und Politikwissenschaften, Wirtschaftswissenschaften, Psychologie und Medizin zeigt, dass die Dokumente der Kernzeitschriften signifikant häufiger relevant bewertet werden als Dokumente der zweiten Dokumentzone bzw. den Peripherie-Zeitschriften. Die Implementierung von Bradfordizing und weiteren Re-Rankingverfahren liefert unmittelbare Mehrwerte für den Nutzer.
    Date
    9. 2.2011 17:47:29
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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