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  • × author_ss:"Robertson, S."
  • × language_ss:"e"
  1. Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003) 0.01
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    Date
    14. 8.2005 14:22:22
    Source
    Information retrieval. 6(2003) no.1, S.99-150
  2. Robertson, S.; Tait, J.: In Memoriam Karen Sparck Jones (2007) 0.00
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    Abstract
    This note is also appearing in the Journal of the American Society for Information Systems and Technology.
    Date
    26.12.2007 14:22:47
    Source
    Information processing and management. 43(2007) no.6, S.1441-1446
  3. Jones, S.; Gatford, M.; Robertson, S.; Hancock-Beaulieu, M.; Secker, J.; Walker, S.: Interactive thesaurus navigation : intelligence rules OK? (1995) 0.00
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    Source
    Journal of the American Society for Information Science. 46(1995) no.1, S.52-59
    Theme
    Konzeption und Anwendung des Prinzips Thesaurus
  4. Robertson, S.: In memoriam Cyril W. Cleverdon (1998) 0.00
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    Source
    Journal of the American Society for Information Science. 49(1998) no.10, S.866
  5. Robertson, S.; Callan, J.: Routing and filtering (2005) 0.00
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    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  6. Hancock-Beaulieu, M.; Robertson, S.; Neilson, C.: Evaluation of online catalogues : eliciting information from the user (1991) 0.00
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    Abstract
    An investigation of tools, techniques, and methods for the evaluation of interactive library catalogues is described, with emphasis on diagnostic methods and on use of the catalogue in a wider context of user information seeking behaviour. A front-end system (Olive) was developed to test verious enhancements of traditional transaction logging as a data-gathering technique for evaluation purposes. These include full-screen logging, pre- and post-search, online/offline, and in-search interactive questionnaires, search replys as well as talk-aloud. The extent of subject or hybrid searching activity as opposed to specific item searching is also highlighted
    Source
    Information processing and management. 27(1991) no.5, S.523-532
  7. Robertson, S.: Understanding inverse document frequency : on theoretical arguments for IDF (2004) 0.00
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    Abstract
    The term-weighting function known as IDF was proposed in 1972, and has since been extremely widely used, usually as part of a TF*IDF function. It is often described as a heuristic, and many papers have been written (some based on Shannon's Information Theory) seeking to establish some theoretical basis for it. Some of these attempts are reviewed, and it is shown that the Information Theory approaches are problematic, but that there are good theoretical justifications of both IDF and TF*IDF in the traditional probabilistic model of information retrieval.
  8. Robertson, S.: How Okapi came to TREC (2005) 0.00
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    Source
    TREC: experiment and evaluation in information retrieval. Ed.: E.M. Voorhees, u. D.K. Harman
  9. Robertson, S.; Tait, J.: Karen Sparck Jones (2008) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 59(2008) no.5, S.852-854
  10. Robertson, S.: On the history of evaluation in IR (2009) 0.00
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    Abstract
    This paper is a personal take on the history of evaluation experiments in information retrieval. It describes some of the early experiments that were formative in our understanding, and goes on to discuss the current dominance of TREC (the Text REtrieval Conference) and to assess its impact.
    Source
    Information science in transition, Ed.: A. Gilchrist
  11. Beaulieu, M.; Robertson, S.; Rasmussen, E.: Evaluating interactive systems in TREC (1996) 0.00
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    Abstract
    The TREC experiments were designed to allow large-scale laboratory testing of information retrieval techniques. As the experiments have progressed, groups within TREC have become increasingly interested in finding ways to allow user interaction without invalidating the experimental design. The development of an 'interactive track' within TREC to accomodate user interaction has required some modifications in the way the retrieval task is designed. In particular there is a need to simulate a realistic interactive searching task within a laboratory environment. Through successive interactive studies in TREC, the Okapi team at City University London has identified methodological issues relevant to this process. A diagnostic experiment was conducted as a follow-up to TREC searches which attempted to isolate the human nad automatic contributions to query formulation and retrieval performance
    Source
    Journal of the American Society for Information Science. 47(1996) no.1, S.85-94
  12. Bodoff, D.; Robertson, S.: ¬A new unified probabilistic model (2004) 0.00
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    Abstract
    This paper proposes a new unified probabilistic model. Two previous models, Robertson et al.'s "Model 0" and "Model 3," each have strengths and weaknesses. The strength of Model 0 not found in Model 3, is that it does not require relevance data about the particular document or query, and, related to that, its probability estimates are straightforward. The strength of Model 3 not found in Model 0 is that it can utilize feedback information about the particular document and query in question. In this paper we introduce a new unified probabilistic model that combines these strengths: the expression of its probabilities is straightforward, it does not require that data must be available for the particular document or query in question, but it can utilize such specific data if it is available. The model is one way to resolve the difficulty of combining two marginal views in probabilistic retrieval.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.6, S.471-487
  13. Robertson, S.: ¬The state of information retrieval : a researcher's view 0.00
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