Search (29 results, page 1 of 2)

  • × theme_ss:"Retrievalalgorithmen"
  • × type_ss:"a"
  • × year_i:[1990 TO 2000}
  1. Burgin, R.: ¬The retrieval effectiveness of 5 clustering algorithms as a function of indexing exhaustivity (1995) 0.03 
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    Date
    22. 2.1996 11:20:06
    Source
    Journal of the American Society for Information Science. 46(1995) no.8, S.562-572
  2. Davis, C.H.: Beyond Boole : the next logical step (1995) 0.02 
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    Source
    Bulletin of the American Society for Information Science. 21(1995), S.17-20
  3. Faloutsos, C.: Signature files (1992) 0.01 
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    Date
    7. 5.1999 15:22:48
  4. Chang, C.-H.; Hsu, C.-C.: Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval (1998) 0.01 
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    Date
    1. 8.1996 22:08:06
  5. Joss, M.W.; Wszola, S.: ¬The engines that can : text search and retrieval software, their strategies, and vendors (1996) 0.01 
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    Date
    12. 9.1996 13:56:22
  6. Kelledy, F.; Smeaton, A.F.: Signature files and beyond (1996) 0.01 
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    Source
    Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
  7. Ruthven, I.; Lalmas, M.: Selective relevance feedback using term characteristics (1999) 0.01 
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    Source
    Vocabulary as a central concept in digital libraries: interdisciplinary concepts, challenges, and opportunities : proceedings of the Third International Conference an Conceptions of Library and Information Science (COLIS3), Dubrovnik, Croatia, 23-26 May 1999. Ed. by T. Arpanac et al
  8. Efthimiadis, E.N.: User choices : a new yardstick for the evaluation of ranking algorithms for interactive query expansion (1995) 0.01 
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    Date
    22. 2.1996 13:14:10
  9. Chen, H.; Zhang, Y.; Houston, A.L.: Semantic indexing and searching using a Hopfield net (1998) 0.01 
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    Abstract
    Presents a neural network approach to document semantic indexing. Reports results of a study to apply a Hopfield net algorithm to simulate human associative memory for concept exploration in the domain of computer science and engineering. The INSPEC database, consisting of 320.000 abstracts from leading periodical articles was used as the document test bed. Benchmark tests conformed that 3 parameters: maximum number of activated nodes; maximum allowable error; and maximum number of iterations; were useful in positively influencing network convergence behaviour without negatively impacting central processing unit performance. Another series of benchmark tests was performed to determine the effectiveness of various filtering techniques in reducing the negative impact of noisy input terms. Preliminary user tests conformed expectations that the Hopfield net is potentially useful as an associative memory technique to improve document recall and precision by solving discrepancies between indexer vocabularies and end user vocabularies
    Source
    Journal of information science. 24(1998) no.1, S.3-18
  10. Schamber, L.; Bateman, J.: Relevance criteria uses and importance : progress in development of a measurement scale (1999) 0.01 
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    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  11. Frants, V.I.; Shapiro, J.: Control and feedback in a documentary information retrieval system (1991) 0.01 
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    Source
    Journal of the American Society for Information Science. 42(1991) no.9, S.623-634
  12. Nakkouzi, Z.S.; Eastman, C.M.: Query formulation for handling negation in information retrieval systems (1990) 0.01 
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    Source
    Journal of the American Society for Information Science. 41(1990) no.3, S.171-182
  13. Wong, S.K.M.; Yao, Y.Y.: Query formulation in linear retrieval models (1990) 0.01 
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    Source
    Journal of the American Society for Information Science. 41(1990) no.5, S.334-341
  14. Spink, A.; Losee, R.M.: Feedback in information retrieval (1996) 0.01 
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    Source
    Annual review of information science and technology. 31(1996), S.33-78
  15. Wilbur, W.J.: ¬A retrieval system based on automatic relevance weighting of search terms (1992) 0.01 
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    Source
    Proceedings of the 55th Annual Meeting of the American Society for Information Science, Pittsburgh, 26.-29.10.92. Ed.: D. Shaw
  16. Kantor, P.; Kim, M.H.; Ibraev, U.; Atasoy, K.: Estimating the number of relevant documents in enormous collections (1999) 0.01 
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    Series
    Proceedings of the American Society for Information Science; vol.36
    Source
    Knowledge: creation, organization and use. Proceedings of the 62nd Annual Meeting of the American Society for Information Science, 31.10.-4.11.1999. Ed.: L. Woods
  17. Couvreur, T.R.; Benzel, R.N.; Miller, S.F.; Zeitler, D.N.; Lee, D.L.; Singhal, M.; Shivaratri, N.; Wong, W.Y.P.: ¬An analysis of performance and cost factors in searching large text databases using parallel search systems (1994) 0.01 
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    Source
    Journal of the American Society for Information Science. 45(1994) no.7, S.443-464
  18. Rajashekar, T.B.; Croft, W.B.: Combining automatic and manual index representations in probabilistic retrieval (1995) 0.01 
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    Source
    Journal of the American Society for Information Science. 46(1995) no.4, S.272-283
  19. Davis, C.H.; McKim, G.W.: Systematic weighting and ranking : cutting the Gordian knot (1999) 0.01 
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    Journal of the American Society for Information Science. 50(1999) no.7, S.626-628
  20. Wollf, J.G.: ¬A scalable technique for best-match retrieval of sequential information using metrics-guided search (1994) 0.01 
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    Source
    Journal of information science. 20(1994) no.1, S.16-28

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