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Hawking, D.; Robertson, S.: On collection size and retrieval effectiveness (2003)
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- 14. 8.2005 14:22:22
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Robertson, S.; Tait, J.: In Memoriam Karen Sparck Jones (2007)
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- 26.12.2007 14:22:47
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Beaulieu, M.; Robertson, S.; Rasmussen, E.: Evaluating interactive systems in TREC (1996)
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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
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Robertson, S.: ¬The state of information retrieval : a researcher's view
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- Abstract
- For the last ten years Stephen Robertson has been a researcher at the Microsoft Research Laboratory. He previously spent twenty years at City University, where he started the Centre for Interactive Systems Research and still retains a part-time professorship. His work on probabilistic theory underpins the algorithms behind every serious search engine today. In his talk, he gave a non-technical overview of some current concerns of core IR research, in particular on the use of different kinds of evidence in searching and ranking.
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Robertson, S.; Walker, S.: Threshold setting in adaptive filtering (2000)
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Robertson, S.: In memoriam Cyril W. Cleverdon (1998)
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Hancock-Beaulieu, M.; Robertson, S.; Neilson, C.: Evaluation of online catalogues : eliciting information from the user (1991)
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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
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Robertson, S.; Callan, J.: Routing and filtering (2005)
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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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- 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.
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- Information science in transition, Ed.: A. Gilchrist
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Robertson, S.: Understanding inverse document frequency : on theoretical arguments for IDF (2004)
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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.
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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.
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Robertson, S.: How Okapi came to TREC (2005)
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Robertson, S.; Tait, J.: Karen Sparck Jones (2008)
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Jones, S.; Gatford, M.; Robertson, S.; Hancock-Beaulieu, M.; Secker, J.; Walker, S.: Interactive thesaurus navigation : intelligence rules OK? (1995)
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- Abstract
- We discuss whether it is feasible to build intelligent rule- or weight-based algorithms into general-purpose software for interactive thesaurus navigation. We survey some approaches to the problem reported in the literature, particularly those involving the assignement of 'link weights' in a thesaurus network, and point out some problems of both principle and practice. We then describe investigations which entailed logging the behavior of thesaurus users and testing the effect of thesaurus-based query enhancement in an IR system using term weighting, in an attempt to identify successful strategies to incorporate into automatic procedures. The results cause us to question many of the assumptions made by previous researchers in this area
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