-
Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983)
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- Pages
- S.22-25
-
Ravana, S.D.; Taheri, M.S.; Rajagopal, P.: Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems (2015)
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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
-
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)
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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)
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- Source
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Davis, M.; Dunning, T.: ¬A TREC evaluation of query translation methods for multi-lingual text retrieval (1996)
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Strzalkowski, T.; Perez-Carballo, J.: Natural language information retrieval : TREC-4 report (1996)
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Strzalkowski, T.; Sparck Jones, K.: NLP track at TREC-5 (1997)
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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)
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Agata, T.: ¬A measure for evaluating search engines on the World Wide Web : retrieval test with ESL (Expected Search Length) (1997)
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Mandl, T.: Neue Entwicklungen bei den Evaluierungsinitiativen im Information Retrieval (2006)
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- Source
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- 20.10.2000 12:22:23
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Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998)
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- 11. 8.2001 16:22:19
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Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990)
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- Date
- 22. 7.2006 18:43:54
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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)
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