Search (71 results, page 4 of 4)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[2000 TO 2010}
  1. Petrelli, D.: On the role of user-centred evaluation in the advancement of interactive information retrieval (2008) 0.00 
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    Source
    Information processing and management. 44(2008) no.1, S.22-38
  2. Ahlgren, P.; Grönqvist, L.: Evaluation of retrieval effectiveness with incomplete relevance data : theoretical and experimental comparison of three measures (2008) 0.00 
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  3. Vakkari, P.; Sormunen, E.: ¬The influence of relevance levels an the effectiveness of interactive information retrieval (2004) 0.00 
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  4. Cooper, M.D.; Chen, H.-M.: Predicting the relevance of a library catalog search (2001) 0.00 
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    Date
    29. 9.2001 17:26:02
  5. Voorhees, E.M.; Harman, D.K.: ¬The Text REtrieval Conference (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  6. Hansen, P.; Karlgren, J.: Effects of foreign language and task scenario on relevance assessment (2005) 0.00 
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  7. Mettrop, W.; Nieuwenhuysen, P.: Internet search engines : fluctuations in document accessibility (2001) 0.00 
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  8. Borlund, P.: Experimental components for the evaluation of interactive information retrieval systems (2000) 0.00 
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  9. Díaz, A.; García, A.; Gervás, P.: User-centred versus system-centred evaluation of a personalization system (2008) 0.00 
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  10. Lioma, C.; Ounis, I.: ¬A syntactically-based query reformulation technique for information retrieval (2008) 0.00 
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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.
  11. TREC: experiment and evaluation in information retrieval (2005) 0.00 
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    Date
    29. 3.1996 18:16:49

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