Search (220 results, page 11 of 11)

  • × theme_ss:"Retrievalstudien"
  • × year_i:[1990 TO 2000}
  1. Kwok, K.L.: ¬A network approach to probabilistic information retrieval (1995) 0.00 
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    ACM transactions on information systems. 13(1995) no.3, S.324-353
  2. Buckley, C.; Allan, J.; Salton, G.: Automatic routing and retrieval using Smart : TREC-2 (1995) 0.00 
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    Information processing and management. 31(1995) no.3, S.315-326
  3. MacCall, S.L.; Cleveland, A.D.: ¬A relevance-based quantitative measure for Internet information retrieval evaluation (1999) 0.00 
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    Pages
    S.763-768
  4. Dalrymple, P.W.; Cox, R.: ¬An examination of the effects of non-Boolean enhancements to an information retrieval system (1992) 0.00 
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    Pages
    S.75-81
  5. Ellis, D.: ¬The dilemma of measurement in information retrieval research (1996) 0.00 
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    Journal of the American Society for Information Science. 47(1996) no.1, S.23-36
  6. Harter, S.P.: Variations in relevance assessments and the measurement of retrieval effectiveness (1996) 0.00 
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    Journal of the American Society for Information Science. 47(1996) no.1, S.37-49
  7. Nelson, M.J.: ¬The effect of query characteristics on retrieval results in the TREC retrieval tests (1995) 0.00 
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    Pages
    S.156-163
  8. Gluck, M.: Exploring the relationship between user satisfaction and relevance in information systems (1996) 0.00 
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    Information processing and management. 32(1996) no.1, S.89-104
  9. Pirkola, A.; Jarvelin, K.: ¬The effect of anaphor and ellipsis resolution on proximity searching in a text database (1995) 0.00 
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    Information processing and management. 32(1996) no.2, S.199-216
  10. Huffman, G.D.; Vital, D.A.; Bivins, R.G.: Generating indices with lexical association methods : term uniqueness (1990) 0.00 
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    Information processing and management. 26(1990) no.4, S.549-558
  11. Hirsh, S.G.: Children's relevance criteria and information seeking on electronic resources (1999) 0.00 
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    Journal of the American Society for Information Science. 50(1999) no.14, S.1265-1283
  12. Tseng, Y.-H.: Solving vocabulary problems with interactive query expansion (1998) 0.00 
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    Journal of library and information science. 24(1998) no.1, S.1-18
  13. MacCall, S.L.; Cleveland, A.D.; Gibson, I.E.: Outline and preliminary evaluation of the classical digital library model (1999) 0.00 
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    Pages
    S.33-46
  14. Boros, E.; Kantor, P.B.; Neu, D.J.: Pheromonic representation of user quests by digital structures (1999) 0.00 
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    Pages
    S.633-642
  15. Kantor, P.; Kim, M.H.; Ibraev, U.; Atasoy, K.: Estimating the number of relevant documents in enormous collections (1999) 0.00 
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    Pages
    S.507-514
  16. Draper, S.W.; Dunlop, M.D.: New IR - new evaluation : the impact of interaction and multimedia on information retrieval and its evaluation (1997) 0.00 
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    New review of hypermedia and multimedia. 1997, no.3, S.107-121
  17. Voorbij, H.: Title keywords and subject descriptors : a comparison of subject search entries of books in the humanities and social sciences (1998) 0.00 
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    Journal of documentation. 54(1998) no.4, S.466-476
  18. Cross-language information retrieval (1998) 0.00 
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    Footnote
    Rez. in: Machine translation review: 1999, no.10, S.26-27 (D. Lewis): "Cross Language Information Retrieval (CLIR) addresses the growing need to access large volumes of data across language boundaries. The typical requirement is for the user to input a free form query, usually a brief description of a topic, into a search or retrieval engine which returns a list, in ranked order, of documents or web pages that are relevant to the topic. The search engine matches the terms in the query to indexed terms, usually keywords previously derived from the target documents. Unlike monolingual information retrieval, CLIR requires query terms in one language to be matched to indexed terms in another. Matching can be done by bilingual dictionary lookup, full machine translation, or by applying statistical methods. A query's success is measured in terms of recall (how many potentially relevant target documents are found) and precision (what proportion of documents found are relevant). Issues in CLIR are how to translate query terms into index terms, how to eliminate alternative translations (e.g. to decide that French 'traitement' in a query means 'treatment' and not 'salary'), and how to rank or weight translation alternatives that are retained (e.g. how to order the French terms 'aventure', 'business', 'affaire', and 'liaison' as relevant translations of English 'affair'). Grefenstette provides a lucid and useful overview of the field and the problems. The volume brings together a number of experiments and projects in CLIR. Mark Davies (New Mexico State University) describes Recuerdo, a Spanish retrieval engine which reduces translation ambiguities by scanning indexes for parallel texts; it also uses either a bilingual dictionary or direct equivalents from a parallel corpus in order to compare results for queries on parallel texts. Lisa Ballesteros and Bruce Croft (University of Massachusetts) use a 'local feedback' technique which automatically enhances a query by adding extra terms to it both before and after translation; such terms can be derived from documents known to be relevant to the query.
    Pages
    VII,182 S
    Type
    s
  19. Borgman, C.L.: Why are online catalogs still hard to use? (1996) 0.00 
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    Journal of the American Society for Information Science. 47(1996) no.7, S.493-503
  20. Bateman, J.: Modelling the importance of end-user relevance criteria (1999) 0.00 
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    Pages
    S.396-406

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