Search (37 results, page 1 of 2)

  • × author_ss:"Robertson, S.E."
  1. Robertson, S.E.: ¬The probability ranking principle in IR (1977) 0.04
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willet. San Francisco: Morgan Kaufmann 1997. S.281-286.
    Source
    Journal of documentation. 33(1977), S.294-304
    Type
    a
  2. Beaulieu, M.M.; Gatford, M.; Huang, X.; Robertson, S.E.; Walker, S.; Williams, P.: Okapi an TREC-5 (1997) 0.04
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    Pages
    S.143-165
    Source
    The Fifth Text Retrieval Conference (TREC-5). Ed.: E.M. Voorhees u. D.K. Harman
    Type
    a
  3. Robertson, S.E.: Some recent theories and models in information retrieval (1980) 0.04
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    Pages
    S.131-136
    Source
    Theory and application of information research. Proc. of the 2nd Int. Research Forum on Information Science, 3.-6.8.1977, Copenhagen. Ed.: O. Harbo u. L. Kajberg
    Type
    a
  4. Robertson, S.E.; Walker, S.: Some simple effective approximations to the 2-Poisson molde for probabilisitc weighted retrieval (1979) 0.03
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    Footnote
    Wiederabgedruckt in: Readings in information retrieval. Ed.: K. Sparck Jones u. P. Willett. San Francisco: Morgan Kaufmann 1997. S.345-453.
    Source
    Journal of documentation. 35(1979), S.285-295 (???)
    Type
    a
  5. Robertson, S.E.: On relevance weight estimation and query expansion (1986) 0.03
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    Abstract
    A Bayesian argument is used to suggest modifications to the Robertson/Sparck Jones relevance weighting formula, to accomodate the addition to the query of terms taken from the relevant documents identified during the search
    Source
    Journal of documentation. 42(1986), S.182-188
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  6. Robertson, S.E.: On term selection for query expansion (1990) 0.03
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    Abstract
    In the framework of a relevance feedback system, term values or term weights may be used to (a) select new terms for inclusion in a query, and/or (b) weight the terms for retrieval purposes once selected. It has sometimes been assumed that the same weighting formula should be used for both purposes. This paper sketches a quantitative argument which suggests that the two purposes require different weighting formulae
    Source
    Journal of documentation. 46(1990) no.4, S.359-364
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  7. Robertson, S.E.; Walker, S.; Hancock-Beaulieu, M.M.: Large test collection experiments of an operational, interactive system : OKAPI at TREC (1995) 0.02
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    Abstract
    The Okapi system has been used in a series of experiments on the TREC collections, investiganting probabilistic methods, relevance feedback, and query expansion, and interaction issues. Some new probabilistic models have been developed, resulting in simple weigthing functions that take account of document length and within document and within query term frequency. All have been shown to be beneficial when based on large quantities of relevance data as in the routing task. Interaction issues are much more difficult to evaluate in the TREC framework, and no benefits have yet been demonstrated from feedback based on small numbers of 'relevant' items identified by intermediary searchers
    Source
    Information processing and management. 31(1995) no.3, S.345-360
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  8. Robertson, S.E.: OKAPI at TREC-3 (1995) 0.02
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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
    Pages
    27 S
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
  9. Vechtomova, O.; Robertson, S.E.: ¬A domain-independent approach to finding related entities (2012) 0.02
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    Abstract
    We propose an approach to the retrieval of entities that have a specific relationship with the entity given in a query. Our research goal is to investigate whether related entity finding problem can be addressed by combining a measure of relatedness of candidate answer entities to the query, and likelihood that the candidate answer entity belongs to the target entity category specified in the query. An initial list of candidate entities, extracted from top ranked documents retrieved for the query, is refined using a number of statistical and linguistic methods. The proposed method extracts the category of the target entity from the query, identifies instances of this category as seed entities, and computes similarity between candidate and seed entities. The evaluation was conducted on the Related Entity Finding task of the Entity Track of TREC 2010, as well as the QA list questions from TREC 2005 and 2006. Evaluation results demonstrate that the proposed methods are effective in finding related entities.
    Source
    Information processing and management. 48(2012) no.4, S.654-670
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  10. MacFarlane, A.; Robertson, S.E.; McCann, J.A.: Parallel computing for passage retrieval (2004) 0.02
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    Date
    20. 1.2007 18:30:22
    Source
    Aslib proceedings. 56(2004) no.4, S.201-211
    Type
    a
  11. Robertson, S.E.: Indexing theory and retrieval effectiveness (1979) 0.01
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    Drexel library quarterly. 14(1979), S.40-56
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  12. Bovey, J.D.; Robertson, S.E.: ¬An algorithm for weighted searching on a Boolean system (1984) 0.01
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    Information technology: research and development. 3(1984) no.1, S.84-87
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  13. Sparck Jones, K.; Walker, S.; Robertson, S.E.: ¬A probabilistic model of information retrieval : development and comparative experiments - part 1 (2000) 0.01
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  14. Sparck Jones, K.; Walker, S.; Robertson, S.E.: ¬A probabilistic model of information retrieval : development and comparative experiments - part 2 (2000) 0.01
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    Information processing and management. 36(2000) no.6, S.809-840
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  15. Robertson, S.E.; Walker, S.; Beaulieu, M.: Experimentation as a way of life : Okapi at TREC (2000) 0.01
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    Information processing and management. 36(2000) no.1, S.95-108
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  16. Robertson, S.E.; Walker, S.; Beaulieu, M.M.; Gatford, M.; Payne, A.: Okapi at TREC-4 (1996) 0.01
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  17. Robertson, S.E.; Belkin, N.J.: Ranking in principle (1978) 0.01
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  18. Robertson, S.E.; Hancock-Beaulieu, M.M.: On the evaluation of IR systems (1992) 0.01
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    Information processing and management. 28(1992) no.4, S.457-466
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  19. Robertson, S.E.: ¬The probabilistic character of relevance (1977) 0.01
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    Information processing and management. 13(1977), S.247-251
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  20. Robertson, S.E.: ¬The methodology of information retrieval experiment (1981) 0.01
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    Pages
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    a