Search (51 results, page 1 of 3)

  • × theme_ss:"Retrievalalgorithmen"
  1. Losada, D.E.; Barreiro, A.: Emebedding term similarity and inverse document frequency into a logical model of information retrieval (2003) 0.03 
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    Date
    22. 3.2003 19:27:23
  2. Crestani, F.; Dominich, S.; Lalmas, M.; Rijsbergen, C.J.K. van: Mathematical, logical, and formal methods in information retrieval : an introduction to the special issue (2003) 0.02 
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    Date
    22. 3.2003 19:27:36
  3. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.02 
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
  4. Reddaway, S.: High speed text retrieval from large databases on a massively parallel processor (1991) 0.02 
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    Source
    Information processing and management. 27(1991), S.311-316
  5. Wechsler, M.; Schäuble, P.: ¬The probability ranking principle revisited (2000) 0.02 
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    Date
    16. 8.2002 12:27:46
  6. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.01 
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    Date
    30. 3.2001 13:32:22
  7. Back, J.: ¬An evaluation of relevancy ranking techniques used by Internet search engines (2000) 0.01 
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    Date
    25. 8.2005 17:42:22
  8. Khoo, C.S.G.; Wan, K.-W.: ¬A simple relevancy-ranking strategy for an interface to Boolean OPACs (2004) 0.01 
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    Abstract
    A relevancy-ranking algorithm for a natural language interface to Boolean online public access catalogs (OPACs) was formulated and compared with that currently used in a knowledge-based search interface called the E-Referencer, being developed by the authors. The algorithm makes use of seven weIl-known ranking criteria: breadth of match, section weighting, proximity of query words, variant word forms (stemming), document frequency, term frequency and document length. The algorithm converts a natural language query into a series of increasingly broader Boolean search statements. In a small experiment with ten subjects in which the algorithm was simulated by hand, the algorithm obtained good results with a mean overall precision of 0.42 and mean average precision of 0.62, representing a 27 percent improvement in precision and 41 percent improvement in average precision compared to the E-Referencer. The usefulness of each step in the algorithm was analyzed and suggestions are made for improving the algorithm.
    Source
    Electronic library. 22(2004) no.2, S.112-120
  9. Ciocca, G.; Schettini, R.: ¬A relevance feedback mechanism for content-based image retrieval (1999) 0.01 
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    Date
    27. 8.2005 13:26:48
  10. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.01 
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    Date
    14. 6.2015 22:12:44
  11. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.01 
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    Date
    14. 6.2015 22:12:56
  12. Figuerola, C.G.; Zazo, A.F.; Berrocal, J.L.A.: ¬La interaccion con el usuario en los sistemas de cuperacion de informacion realimentacion por relecvancia (2002) 0.01 
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    Date
    11. 8.2005 14:27:02
  13. Sachs, W.M.: ¬An approach to associative retrieval through the theory of fuzzy sets (1976) 0.01 
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    Source
    Journal of the American Society for information science. 27(1976), S.85-87
  14. Baeza-Yates, R.A.: Introduction to data structures and algorithms related to information retrieval (1992) 0.01 
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    Pages
    S.13-27
  15. Liu, A.; Zou, Q.; Chu, W.W.: Configurable indexing and ranking for XML information retrieval (2004) 0.01 
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    Date
    12. 2.2005 14:27:19
  16. Yu, K.; Tresp, V.; Yu, S.: ¬A nonparametric hierarchical Bayesian framework for information filtering (2004) 0.01 
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    Date
    12. 2.2005 14:27:19
  17. Nagelschmidt, M.: Verfahren zur Anfragemodifikation im Information Retrieval (2008) 0.01 
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    Date
    23. 2.2005 10:27:09
    27. 9.2008 19:25:38
  18. MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing for passage retrieval (2004) 0.01 
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    Date
    20. 1.2007 18:30:22
  19. Faloutsos, C.: Signature files (1992) 0.01 
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    Date
    7. 5.1999 15:22:48
  20. Bornmann, L.; Mutz, R.: From P100 to P100' : a new citation-rank approach (2014) 0.01 
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    Date
    22. 8.2014 17:05:18

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  • m 2
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