-
Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009)
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- Date
- 22. 3.2009 18:48:28
-
Hersh, W.R.; Over, P.: Interactivity at the Text Retrieval Conference (TREC) (2001)
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Over, P.: ¬The TREC interactive track : an annotated bibliography (2001)
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Oberhauser, O.; Labner, J.: Einführung der automatischen Indexierung im Österreichischen Verbundkatalog? : Bericht über eine empirische Studie (2003)
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Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000)
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- Date
- 11. 8.2001 16:22:19
-
Borlund, P.: ¬The IIR evaluation model : a framework for evaluation of interactive information retrieval systems (2003)
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Borlund, P.: Evaluation of interactive information retrieval systems (2000)
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Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001)
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- Abstract
- Die deutschen Suchmaschinen, Abacho, Acoon, Fireball und Lycos sowie die Web-Kataloge Web.de und Yahoo! werden einem Qualitätstest nach relativem Recall, Precision und Availability unterzogen. Die Methoden der Retrievaltests werden vorgestellt. Im Durchschnitt werden bei einem Cut-Off-Wert von 25 ein Recall von rund 22%, eine Precision von knapp 19% und eine Verfügbarkeit von 24% erreicht
-
¬The Eleventh Text Retrieval Conference, TREC 2002 (2003)
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- Abstract
- Proceedings of the llth TREC-conference held in Gaithersburg, Maryland (USA), November 19-22, 2002. Aim of the conference was discussion an retrieval and related information-seeking tasks for large test collection. 93 research groups used different techniques, for information retrieval from the same large database. This procedure makes it possible to compare the results. The tasks are: Cross-language searching, filtering, interactive searching, searching for novelty, question answering, searching for video shots, and Web searching.
-
Ahlgren, P.; Grönqvist, L.: Evaluation of retrieval effectiveness with incomplete relevance data : theoretical and experimental comparison of three measures (2008)
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Vakkari, P.; Sormunen, E.: ¬The influence of relevance levels an the effectiveness of interactive information retrieval (2004)
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-
Leininger, K.: Interindexer consistency in PsychINFO (2000)
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- Date
- 9. 2.1997 18:44:22
-
Hansen, P.; Karlgren, J.: Effects of foreign language and task scenario on relevance assessment (2005)
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Mettrop, W.; Nieuwenhuysen, P.: Internet search engines : fluctuations in document accessibility (2001)
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Borlund, P.: Experimental components for the evaluation of interactive information retrieval systems (2000)
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Díaz, A.; García, A.; Gervás, P.: User-centred versus system-centred evaluation of a personalization system (2008)
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King, D.W.: Blazing new trails : in celebration of an audacious career (2000)
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- Date
- 22. 9.1997 19:16:05
-
Petrelli, D.: On the role of user-centred evaluation in the advancement of interactive information retrieval (2008)
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- Source
- Information processing and management. 44(2008) no.1, S.22-38
-
Lioma, C.; Ounis, I.: ¬A syntactically-based query reformulation technique for information retrieval (2008)
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- Abstract
- Whereas in language words of high frequency are generally associated with low content [Bookstein, A., & Swanson, D. (1974). Probabilistic models for automatic indexing. Journal of the American Society of Information Science, 25(5), 312-318; Damerau, F. J. (1965). An experiment in automatic indexing. American Documentation, 16, 283-289; Harter, S. P. (1974). A probabilistic approach to automatic keyword indexing. PhD thesis, University of Chicago; Sparck-Jones, K. (1972). A statistical interpretation of term specificity and its application in retrieval. Journal of Documentation, 28, 11-21; Yu, C., & Salton, G. (1976). Precision weighting - an effective automatic indexing method. Journal of the Association for Computer Machinery (ACM), 23(1), 76-88], shallow syntactic fragments of high frequency generally correspond to lexical fragments of high content [Lioma, C., & Ounis, I. (2006). Examining the content load of part of speech blocks for information retrieval. In Proceedings of the international committee on computational linguistics and the association for computational linguistics (COLING/ACL 2006), Sydney, Australia]. We implement this finding to Information Retrieval, as follows. We present a novel automatic query reformulation technique, which is based on shallow syntactic evidence induced from various language samples, and used to enhance the performance of an Information Retrieval system. Firstly, we draw shallow syntactic evidence from language samples of varying size, and compare the effect of language sample size upon retrieval performance, when using our syntactically-based query reformulation (SQR) technique. Secondly, we compare SQR to a state-of-the-art probabilistic pseudo-relevance feedback technique. Additionally, we combine both techniques and evaluate their compatibility. We evaluate our proposed technique across two standard Text REtrieval Conference (TREC) English test collections, and three statistically different weighting models. Experimental results suggest that SQR markedly enhances retrieval performance, and is at least comparable to pseudo-relevance feedback. Notably, the combination of SQR and pseudo-relevance feedback further enhances retrieval performance considerably. These collective experimental results confirm the tenet that high frequency shallow syntactic fragments correspond to content-bearing lexical fragments.
