Search (152 results, page 1 of 8)

  • × theme_ss:"Retrievalalgorithmen"
  1. Hüther, H.: Selix im DFG-Projekt Kascade (1998) 0.06
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    Language
    d
    Source
    Knowledge Management und Kommunikationssysteme: Proceedings des 6. Internationalen Symposiums für Informationswissenschaft (ISI '98) Prag, 3.-7. November 1998 / Hochschulverband für Informationswissenschaft (HI) e.V. Konstanz ; Fachrichtung Informationswissenschaft der Universität des Saarlandes, Saarbrücken. Hrsg.: Harald H. Zimmermann u. Volker Schramm
  2. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.05
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    Date
    14. 6.2015 22:12:44
    Language
    d
    Source
    Deutscher Dokumentartag 1985, Nürnberg, 1.-4.10.1985: Fachinformation: Methodik - Management - Markt; neue Entwicklungen, Berufe, Produkte. Bearb.: H. Strohl-Goebel
  3. Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998) 0.04
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    Date
    1. 8.1996 22:08:06
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  4. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.04
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    Date
    30. 3.2001 13:32:22
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  5. Reimer, U.: Empfehlungssysteme (2023) 0.04
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    Abstract
    Mit der wachsenden Informationsflut steigen die Anforderungen an Informationssysteme, aus der Menge potenziell relevanter Information die in einem bestimmten Kontext relevanteste zu selektieren. Empfehlungssysteme spielen hier eine besondere Rolle, da sie personalisiert - d. h. kontextspezifisch und benutzerindividuell - relevante Information herausfiltern können. Definition: Ein Empfehlungssystem empfiehlt einem Benutzer bzw. einer Benutzerin in einem definierten Kontext aus einer gegebenen Menge von Empfehlungsobjekten eine Teilmenge als relevant. Empfehlungssysteme machen Benutzer auf Objekte aufmerksam, die sie möglicherweise nie gefunden hätten, weil sie nicht danach gesucht hätten oder sie in der schieren Menge an insgesamt relevanter Information untergegangen wären.
    Language
    d
  6. Kanaeva, Z.: Ranking: Google und CiteSeer (2005) 0.03
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    Date
    20. 3.2005 16:23:22
    Language
    d
    Source
    Information - Wissenschaft und Praxis. 56(2005) H.2, S.87-92
  7. Fuhr, N.: Modelle im Information Retrieval (2013) 0.03
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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
  8. Bhansali, D.; Desai, H.; Deulkar, K.: ¬A study of different ranking approaches for semantic search (2015) 0.03
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    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  9. Song, D.; Bruza, P.D.: Towards context sensitive information inference (2003) 0.03
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    Date
    22. 3.2003 19:35:46
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  10. Shiri, A.A.; Revie, C.: Query expansion behavior within a thesaurus-enhanced search environment : a user-centered evaluation (2006) 0.03
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    Abstract
    The study reported here investigated the query expansion behavior of end-users interacting with a thesaurus-enhanced search system on the Web. Two groups, namely academic staff and postgraduate students, were recruited into this study. Data were collected from 90 searches performed by 30 users using the OVID interface to the CAB abstracts database. Data-gathering techniques included questionnaires, screen capturing software, and interviews. The results presented here relate to issues of search-topic and search-term characteristics, number and types of expanded queries, usefulness of thesaurus terms, and behavioral differences between academic staff and postgraduate students in their interaction. The key conclusions drawn were that (a) academic staff chose more narrow and synonymous terms than did postgraduate students, who generally selected broader and related terms; (b) topic complexity affected users' interaction with the thesaurus in that complex topics required more query expansion and search term selection; (c) users' prior topic-search experience appeared to have a significant effect on their selection and evaluation of thesaurus terms; (d) in 50% of the searches where additional terms were suggested from the thesaurus, users stated that they had not been aware of the terms at the beginning of the search; this observation was particularly noticeable in the case of postgraduate students.
    Date
    22. 7.2006 16:32:43
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  11. Koopman, R.: ¬Ein OPAC mit Gewichtungsalgorithmen : Der PICA Micro OPC (1996) 0.03
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    Language
    d
    Source
    Zukunft der Sacherschließung im OPAC: Vorträge des 2. Düsseldorfer OPAC-Kolloquiums am 21. Juni 1995. Hrsg.: E. Niggemann u. K. Lepsky
  12. Dreßler, H.: Fuzzy Information Retrieval (2008) 0.03
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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
    Source
    Information - Wissenschaft und Praxis. 59(2008) H.6/7, S.351-352
  13. Faloutsos, C.: Signature files (1992) 0.02
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    Date
    7. 5.1999 15:22:48
    Source
    Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
  14. Klas, C.-P.; Fuhr, N.; Schaefer, A.: Evaluating strategic support for information access in the DAFFODIL system (2004) 0.02
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    Date
    16.11.2008 16:22:48
    Source
    Research and advanced technology for digital libraries : 8th European conference, ECDL 2004, Bath, UK, September 12-17, 2004 : proceedings. Eds.: Heery, R. u. E. Lyon
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  15. Elsweiler, D.; Kruschwitz, U.: Interaktives Information Retrieval (2023) 0.02
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  16. White, H. D.: Co-cited author retrieval and relevance theory : examples from the humanities (2015) 0.02
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  17. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.02
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    Date
    14. 6.2015 22:12:56
    Language
    d
  18. Harman, D.; Fox, E.; Baeza-Yates, R.; Lee, W.: Inverted files (1992) 0.02
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    Source
    Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
  19. Harman, D.: Relevance feedback and other query modification techniques (1992) 0.02
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    Source
    Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates
  20. Harman, D.: Ranking algorithms (1992) 0.02
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    Source
    Information retrieval: data structures and algorithms. Ed.: W.B. Frakes u. R. Baeza-Yates

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