-
Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003)
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- Date
- 14. 8.2005 14:22:22
- Source
- Information retrieval. 6(2003) no.1, S.99-150
-
Robertson, S.; Tait, J.: In Memoriam Karen Sparck Jones (2007)
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- Date
- 26.12.2007 14:22:47
- Source
- Information processing and management. 43(2007) no.6, S.1441-1446
-
Robertson, S.; Walker, S.: Threshold setting in adaptive filtering (2000)
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- Source
- Journal of documentation. 56(2000) no.3, S.312-331
-
Robertson, S.; Callan, J.: Routing and filtering (2005)
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- Pages
- S.99-122
-
Robertson, S.: How Okapi came to TREC (2005)
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- Pages
- S.287-300
-
Robertson, S.; Tait, J.: Karen Sparck Jones (2008)
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- Source
- Journal of the American Society for Information Science and Technology. 59(2008) no.5, S.852-854
-
Willett, P.; Robertson, S.: In memoriam: Karen Sparck Jones (2007)
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-
Robertson, S.: On the history of evaluation in IR (2009)
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- Pages
- S.63-93
-
Bodoff, D.; Robertson, S.: ¬A new unified probabilistic model (2004)
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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
-
Robertson, S.: Understanding inverse document frequency : on theoretical arguments for IDF (2004)
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- Source
- Journal of documentation. 60(2004) no.5, S.503-520