Search (117 results, page 1 of 6)

  • × theme_ss:"Retrievalalgorithmen"
  1. Maylein, L.; Langenstein, A.: Neues vom Relevanz-Ranking im HEIDI-Katalog der Universitätsbibliothek Heidelberg : Perspektiven für bibliothekarische Dienstleistungen (2013) 0.02 
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    Abstract
    Das Relevanz-Ranking im Katalog der Universitätsbibliothek Heidelberg HEIDI, bereits 2009 in einem Beitrag in dieser Zeitschrift beschrieben, wurde in den letzten Jahren durch neue Entwicklungen und Methoden stark verbessert. Der Aufsatz beschreibt die Realisierung der bisherigen Rankingmaßnahmen unter der neu eingesetzten Suchmaschinenplattform SOLR. Weiter werden verschiedene neue Möglichkeiten für Rankinganpassungen unter SOLR sowie deren Einsatz im HEIDI-Katalog dargestellt.
    Date
    29. 6.2013 18:06:23
    Language
    d
    Location
    D
  2. Archuby, C.G.: Interfaces se recuperacion para catalogos en linea con salidas ordenadas por probable relevancia (2000) 0.01 
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    Date
    29. 1.1996 18:23:13
    Footnote
    Übers. d. Titels: Interface for retrieval from online access catalogues with ranked results according to their relevance
    Source
    Ciencia da informacao. 29(2000) no.3, S.5-13
  3. Lanvent, A.: Praxis - Windows-Suche und Indexdienst : Auch Windows kann bei der Suche den Turbo einlegen: mit dem Indexdienst (2004) 0.01 
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    Content
    "Für eine 4-GByte-Festplatte mit mehreren Partitionen sucht Windows XP im Volltextmodus weit über zwei Stunden. Der Indexdienst verkürzt diese Recherchedauer drastisch um mehr als eine Stunde. Im Gegensatz zu den Indizes der kommerziellen Suchwerkzeuge erfasst der Windows-Indexdienst nur Text-, HTML- und OfficeDateien über entsprechend integrierte Dokumentfilter. Da er weder ZIP-Files noch PDFs erkennt und auch keine E-Mails scannt, ist er mit komplexen Anfragen schnell überfordert. Standardmäßig ist der Indexdienst zwar installiert, aber nicht aktiviert. Das erledigt der Anwender über Start/Arbeitsplatz und den Befehl Verwalten aus dem Kontextmenü. In der Computerverwaltung aktiviert der Benutzer den Eintrag Indexdienst und wählt Starten aus dem Kontextmenü. Die zu indizierenden Elemente verwaltet Windows über so genannte Kataloge, mit deren Hilfe der User bestimmt, welche Dateitypen aus welchen Ordnern indiziert werden sollen. Zwar kann der Anwender neben dem Katalog System weitere Kataloge einrichten. Ausreichend ist es aber in den meisten Fällen, dem Katalog System weitere Indizierungsordner über die Befehle Neu/Verzeichnis hinzuzufügen. Klickt der Benutzer dann einen der Indizierungsordner mit der rechten Maustaste an und wählt Alle Tasks/Erneut prüfen (Vollständig), beginnt der mitunter langwierige Indizierungsprozess. Über den Eigenschaften-Dialog lässt sich allerdings der Leistungsverbrauch drosseln. Eine inkrementelle Indizierung, bei der Windows nur neue Elemente im jeweiligen Verzeichnis unter die Lupe nimmt, erreicht der Nutzer über Alle Tasks/Erneut prüfen (inkrementell). Einschalten lässt sich der Indexdienst auch über die Eigenschaften eines Ordners und den Befehl Erweitert/ln-halt für schnelle Dateisuche indizieren. Auskunft über die dem Indexdienst zugeordneten Ordner und Laufwerke erhalten Sie, wenn Sie die WindowsSuche starten und Weitere Optionen/ Andere Suchoptionen/Bevorzugte Einstellungen ändern/Indexdienst verwenden anklicken."
    Language
    d
  4. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.01 
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    Date
    14. 6.2015 22:12:44
    Language
    d
  5. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.01 
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    Date
    14. 6.2015 22:12:56
    Language
    d
  6. Mayr, P.: Bradfordizing mit Katalogdaten : Alternative Sicht auf Suchergebnisse und Publikationsquellen durch Re-Ranking (2010) 0.00 
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    Language
    d
    Series
    Lesesaal: Der Katalog der Zukunft
  7. Hüther, H.: Selix im DFG-Projekt Kascade (1998) 0.00 
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    Date
    25. 8.2000 19:55:29
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    d
  8. 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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    Date
    31.12.1996 19:29:41
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    d
  9. 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
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    d
  10. Kanaeva, Z.: Ranking: Google und CiteSeer (2005) 0.00 
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    Date
    20. 3.2005 16:23:22
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    d
  11. Bodoff, D.; Enache, D.; Kambil, A.; Simon, G.; Yukhimets, A.: ¬A unified maximum likelihood approach to document retrieval (2001) 0.00 
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    Date
    29. 9.2001 17:52:51
  12. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.00 
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  13. Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011) 0.00 
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    d
  14. Crestani, F.: Combination of similarity measures for effective spoken document retrieval (2003) 0.00 
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    Source
    Journal of information science. 29(2003) no.2, S.87-96
  15. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.00 
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  16. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.00 
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  17. Agosti, M.; Pretto, L.: ¬A theoretical study of a generalized version of kleinberg's HITS algorithm (2005) 0.00 
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  18. 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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  19. Fuhr, N.: Modelle im Information Retrieval (2023) 0.00 
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  20. Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.00 
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    Date
    22. 3.2003 19:35:46

Authors

Years

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  • e 76
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  • pt 1
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  • x 7
  • el 4
  • m 3
  • r 2
  • s 2
  • d 1
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