Search (15 results, page 1 of 1)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[1980 TO 1990}
  1. Voorhees, E.M.: Implementing agglomerative hierarchic clustering algorithms for use in document retrieval (1986) 0.06 
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    Source
    Information processing and management. 22(1986) no.6, S.465-476
    Type
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  2. Smeaton, A.F.; Rijsbergen, C.J. van: ¬The retrieval effects of query expansion on a feedback document retrieval system (1983) 0.05 
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    Date
    30. 3.2001 13:32:22
    Type
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  3. Fuhr, N.: Ranking-Experimente mit gewichteter Indexierung (1986) 0.04 
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    Date
    14. 6.2015 22:12:44
    Type
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  4. Fuhr, N.: Rankingexperimente mit gewichteter Indexierung (1986) 0.04 
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    Date
    14. 6.2015 22:12:56
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  5. Salton, G.: ¬A simple blueprint for automatic Boolean query processing (1988) 0.00 
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  6. Rada, R.; Bicknell, E.: Ranking documents with a thesaurus (1989) 0.00 
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  7. Perry, R.; Willett, P.: ¬A revies of the use of inverted files for best match searching in information retrieval systems (1983) 0.00 
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  8. Bovey, J.D.; Robertson, S.E.: ¬An algorithm for weighted searching on a Boolean system (1984) 0.00 
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  9. Salton, G.; Buckley, C.: Parallel text search methods (1988) 0.00 
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  10. Wu, H.; Salton, G.: ¬The estimation of term relevance weights using relevance feedback (1981) 0.00 
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  11. Kantor, P.B.: ¬The logic of weighted queries (1981) 0.00 
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  12. Ro, J.S.: ¬An evaluation of the applicability of ranking algorithms to improve the effectiveness of full-text retrieval : 1. On the effectiveness of full-text retrieval (1988) 0.00 
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  13. Salton, G.; Buckley, C.: Term-weighting approaches in automatic text retrieval (1988) 0.00 
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  14. Deerwester, S.; Dumais, S.; Landauer, T.; Furnass, G.; Beck, L.: Improving information retrieval with latent semantic indexing (1988) 0.00 
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    Abstract
    Describes a latent semantic indexing (LSI) approach for improving information retrieval. Most document retrieval systems depend on matching keywords in queries against those in documents. The LSI approach tries to overcome the incompleteness and imprecision of latent relations among terms and documents. Tested performance of the LSI method ranged from considerably better than to roughly comparable to performance based on weighted keyword matching, apparently depending on the quality of the queries. Best LSI performance was found using a global entropy weighting for terms and about 100 dimensions for representing terms, documents and queries.
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    a
  15. Srinivasan, P.: Intelligent information retrieval using rough set approximations (1989) 0.00 
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    Type
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Authors

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  • e 13
  • d 2

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