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  • × theme_ss:"Retrievalstudien"
  1. Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983) 0.07
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    Pages
    S.22-25
  2. Strzalkowski, T.; Guthrie, L.; Karlgren, J.; Leistensnider, J.; Lin, F.; Perez-Carballo, J.; Straszheim, T.; Wang, J.; Wilding, J.: Natural language information retrieval : TREC-5 report (1997) 0.04
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    Pages
    S.291-313
  3. Ravana, S.D.; Taheri, M.S.; Rajagopal, P.: Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems (2015) 0.04
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    Abstract
    Purpose The purpose of this paper is to propose a method to have more accurate results in comparing performance of the paired information retrieval (IR) systems with reference to the current method, which is based on the mean effectiveness scores of the systems across a set of identified topics/queries. Design/methodology/approach Based on the proposed approach, instead of the classic method of using a set of topic scores, the documents level scores are considered as the evaluation unit. These document scores are the defined document's weight, which play the role of the mean average precision (MAP) score of the systems as a significance test's statics. The experiments were conducted using the TREC 9 Web track collection. Findings The p-values generated through the two types of significance tests, namely the Student's t-test and Mann-Whitney show that by using the document level scores as an evaluation unit, the difference between IR systems is more significant compared with utilizing topic scores. Originality/value Utilizing a suitable test collection is a primary prerequisite for IR systems comparative evaluation. However, in addition to reusable test collections, having an accurate statistical testing is a necessity for these evaluations. The findings of this study will assist IR researchers to evaluate their retrieval systems and algorithms more accurately.
    Date
    20. 1.2015 18:30:22
    Source
    Aslib journal of information management. 67(2015) no.4, S.408-421
  4. Davis, M.; Dunning, T.: ¬A TREC evaluation of query translation methods for multi-lingual text retrieval (1996) 0.03
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    Pages
    S.483-497
  5. Strzalkowski, T.; Perez-Carballo, J.: Natural language information retrieval : TREC-4 report (1996) 0.03
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    Pages
    S.245-258
  6. Strzalkowski, T.; Sparck Jones, K.: NLP track at TREC-5 (1997) 0.03
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    Pages
    S.97-101
  7. Kuriyama, K.; Kando, N.; Nozue, T.; Eguchi, K.: Pooling for a large-scale test collection : an analysis of the search results from the First NTCIR Workshop (2002) 0.03
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    Source
    Information retrieval. 5(2002), S.41-59
  8. Agata, T.: ¬A measure for evaluating search engines on the World Wide Web : retrieval test with ESL (Expected Search Length) (1997) 0.03
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    Source
    Library and information science. 1997, no.37, S.1-11
  9. Kaltenborn, K.-F.: Endnutzerrecherchen in der CD-ROM-Datenbank Medline : T.1: Evaluations- und Benutzerforschung über Nutzungscharakteristika, Bewertung der Rechercheergebnisse und künftige Informationsgewinnung; T.2: Evaluations- und Benutzerforschung über Recherchequalität und Nutzer-Computer/Datenbank-Interaktion (1991) 0.03
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    Source
    Nachrichten für Dokumentation. 42(1991) H.2, S.107-114. (T.1); 42(1991) H.3, S.177-190 (T.2)
  10. Fuhr, N.; Niewelt, B.: ¬Ein Retrievaltest mit automatisch indexierten Dokumenten (1984) 0.03
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    Date
    20.10.2000 12:22:23
    Pages
    S.319-339
  11. Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998) 0.03
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    Source
    Online. 22(1998) no.6, S.57-58
  12. Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000) 0.03
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    Date
    11. 8.2001 16:22:19
    Source
    Information processing and management. 36(2000) no.1, S.3-36
  13. Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990) 0.03
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    Date
    22. 7.2006 18:43:54
    Source
    Journal of the American Society for Information Science. 41(1990) no.4, S.272-281
  14. Mandl, T.: Neue Entwicklungen bei den Evaluierungsinitiativen im Information Retrieval (2006) 0.03
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    Pages
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    Effektive Information Retrieval Verfahren in Theorie und Praxis: ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005. Hrsg.: T. Mandl u. C. Womser-Hacker
  15. Brown, E.W.; Carmel, D.; Franz, M.; Ittycheriah, A.; Kanungo, T.; Maarek, Y.; McCarley, J.S.; Mack, R.L.; Prager, J.M.; Smith, J.R.; Soffer, A.; Zien, J.Y.; Marwick, A.D.: IBM research activities at TREC (2005) 0.03
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  16. Becks, D.; Mandl, T.; Womser-Hacker, C.: Spezielle Anforderungen bei der Evaluierung von Patent-Retrieval-Systemen (2010) 0.03
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    Pages
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    Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
  17. Bellardo, T.; Saracevic, T.: Online searching and search output : relationships between overlap, relevance, recall and precision (1987) 0.02
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    Pages
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  18. Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997) 0.02
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    Date
    27. 2.1999 20:55:22
    Pages
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  19. Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997) 0.02
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    Pages
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  20. Saracevic, T.: Individual differences in organizing, searching and retrieving information (1991) 0.02
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    Pages
    S.82-86

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