Search (46 results, page 2 of 3)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[2000 TO 2010}
  1. Buckley, C.: ¬The SMART Project at TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  2. Kwok, K.-L.: Ten years of ad hoc retrieval at TREC using PIRCS (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  3. Hiemstra, D.; Kraaij, W.: ¬A language-modeling approach to TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  4. Sparck Jones, K.: Metareflections on TREC (2005) 0.00 
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    Date
    29. 3.1996 18:16:49
  5. 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) 0.00 
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    Date
    29. 3.1996 18:16:49
  6. Bar-Ilan, J.: Methods for measuring search engine performance over time (2002) 0.00 
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    Date
    23. 3.2002 9:50:29
  7. Dresel, R.; Hörnig, D.; Kaluza, H.; Peter, A.; Roßmann, A.; Sieber, W.: Evaluation deutscher Web-Suchwerkzeuge : Ein vergleichender Retrievaltest (2001) 0.00 
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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
  8. ¬The Eleventh Text Retrieval Conference, TREC 2002 (2003) 0.00 
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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.
  9. Morse, E.; Lewis, M.; Olsen, K.A.: Testing visual information retrieval methodologies case study : comparative analysis of textual, icon, graphical, and "spring" displays (2002) 0.00 
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    Source
    Journal of the American Society for Information Science and technology. 53(2002) no.1, S.28-40
  10. 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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    Date
    28. 7.2008 15:37:12
  11. Pirkola, A.; Järvelin, K.: Employing the resolution power of search keys (2001) 0.00 
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    Date
    29. 9.2001 14:01:42
  12. Wien, C.: Sample sizes and composition : their effect on recall and precision in IR experiments with OPACs (2000) 0.00 
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    Source
    Cataloging and classification quarterly. 29(2000) no.4, S.73-86
  13. Serrano Cobos, J.; Quintero Orta, A.: Design, development and management of an information recovery system for an Internet Website : from documentary theory to practice (2003) 0.00 
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    Date
    6. 1.1997 18:30:28
  14. Blandford, A.; Adams, A.; Attfield, S.; Buchanan, G.; Gow, J.; Makri, S.; Rimmer, J.; Warwick, C.: ¬The PRET A Rapporter framework : evaluating digital libraries from the perspective of information work (2008) 0.00 
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    Date
    28. 7.2008 14:31:25
  15. López-Ostenero, F.; Peinado, V.; Gonzalo, J.; Verdejo, F.: Interactive question answering : Is Cross-Language harder than monolingual searching? (2008) 0.00 
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    Date
    28. 7.2008 14:39:18
  16. Voorhees, E.M.: On test collections for adaptive information retrieval (2008) 0.00 
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    Date
    22.11.2008 16:29:00
  17. Leininger, K.: Interindexer consistency in PsychINFO (2000) 0.00 
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    Date
    9. 2.1997 18:44:22
  18. 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.
    Date
    28. 7.2008 15:02:36
  19. Park, S.: Usability, user preferences, effectiveness, and user behaviors when searching individual and integrated full-text databases : implications for digital libraries (2000) 0.00 
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    Abstract
    This article addresses a crucial issue in the digital library environment: how to support effective interaction of users with heterogeneous and distributed information resources. In particular, this study compared usability, user preference, effectiveness, and searching behaviors in systems that implement interaction with multiple databases as if they were one (integrated interaction) in a experiment in the TREC environment. 28 volunteers were recruited from the graduate students of the School of Communication, Information & Library Studies at Rutgers University. Significantly more subjects preferred the common interface to the integrated interface, mainly because they could have more control over database selection. Subjects were also more satisfied with the results from the common interface, and performed better with the common interface than with the integrated interface. Overall, it appears that for this population, interacting with databases through a common interface is preferable on all grounds to interacting with databases through an integrated interface. These results suggest that: (1) the general assumption of the information retrieval (IR) literature that an integrated interaction is best needs to be revisited; (2) it is important to allow for more user control in the distributed environment; (3) for digital library purposes, it is important to characterize different databases to support user choice for integration; and (4) certain users prefer control over database selection while still opting for results to be merged
  20. López-Pujalte, C.; Guerrero-Bote, V.P.; Moya-Anegón, F. de: Order-based fitness functions for genetic algorithms applied to relevance feedback (2003) 0.00 
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    Date
    5. 7.2006 19:28:20

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