Search (91 results, page 5 of 5)

  • × theme_ss:"Retrievalalgorithmen"
  • × year_i:[1990 TO 2000}
  1. Smith, M.P.; Pollitt, S.A.: ¬A comparison of ranking formulae and their ranks (1995) 0.00 
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    Abstract
    Reports a study to compare the ranking produced by several well known probabilistic formulae. Values for the variables used in these formulae (collection frequency for a query term, number of relevant documents retrieved, and number of relevant documents retrieved, and number of relevant documents indexed by the query term) were derived using a random number generator, the number of documents in the collection was fixed at 500.000. This produced ranked bands for each formula using document term characteristics rather than actual documents. These rankings were compared with one another using the Spearman Rho ranked correlation co-efficient to determine how closely the algorithms rank documents. There is little difference in the rankings produced by the Expected Mutual Information measure EMIM and the simpler F4.5 weighting scheme
  2. Lee, D.L.; Ren, L.: Document ranking on weight-partitioned signature files (1996) 0.00 
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    Source
    ACM transactions on information systems. 14(1996) no.2, S.109-137
  3. Paris, L.A.H.; Tibbo, H.R.: Freestyle vs. Boolean : a comparison of partial and exact match retrieval systems (1998) 0.00 
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    Source
    Information processing and management. 34(1998) nos.2/3, S.175-190
  4. Davis, C.H.; McKim, G.W.: Systematic weighting and ranking : cutting the Gordian knot (1999) 0.00 
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    Source
    Journal of the American Society for Information Science. 50(1999) no.7, S.626-628
  5. Robertson, S.E.: OKAPI at TREC-3 (1995) 0.00 
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    Abstract
    Reports text information retrieval experiments performed as part of the 3 rd round of Text Retrieval Conferences (TREC) using the Okapi online catalogue system at City University, UK. The emphasis in TREC-3 was: further refinement of term weighting functions; an investigation of run time passage determination and searching; expansion of ad hoc queries by terms extracted from the top documents retrieved by a trial search; new methods for choosing query expansion terms after relevance feedback, now split into methods of ranking terms prior to selection and subsequent selection procedures; and the development of a user interface procedure within the new TREC interactive search framework
  6. Evans, R.: Beyond Boolean : relevance ranking, natural language and the new search paradigm (1994) 0.00 
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    Imprint
    Medford, NJ : Learned Information
  7. Moffat, A.; Bell, T.A.H.: In situ generation of compressed inverted files (1995) 0.00 
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    Source
    Journal of the American Society for Information Science. 46(1995) no.7, S.537-550
  8. Green, R.: Topical relevance relationships : 2: an exploratory study and preliminary typology (1995) 0.00 
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    Source
    Journal of the American Society for Information Science. 46(1995) no.9, S.654-662
  9. Chen, H.; Zhang, Y.; Houston, A.L.: Semantic indexing and searching using a Hopfield net (1998) 0.00 
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    Source
    Journal of information science. 24(1998) no.1, S.3-18
  10. Deerwester, S.C.; Dumais, S.T.; Landauer, T.K.; Furnas, G.W.; Harshman, R.A.: Indexing by latent semantic analysis (1990) 0.00 
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    Source
    Journal of the American Society for Information Science. 41(1990) no.6, S.391-407
  11. Keen, E.M.: Designing and testing an interactive ranked retrieval system for professional searchers (1994) 0.00 
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    Source
    Journal of information science. 20(1994) no.6, S.389-398

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