-
¬The Eleventh Text Retrieval Conference, TREC 2002 (2003)
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- Abstract
- Proceedings of the llth TREC-conference held in Gaithersburg, Maryland (USA), November 19-22, 2002. Aim of the conference was discussion an retrieval and related information-seeking tasks for large test collection. 93 research groups used different techniques, for information retrieval from the same large database. This procedure makes it possible to compare the results. The tasks are: Cross-language searching, filtering, interactive searching, searching for novelty, question answering, searching for video shots, and Web searching.
- Imprint
- Gaithersburg, MD : National Institute of Standards / Information Technology Laboratory
-
¬The Fifth Text Retrieval Conference (TREC-5) (1997)
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- Abstract
- Proceedings of the 5th TREC-confrerence held in Gaithersburgh, Maryland, Nov 20-22, 1996. Aim of the conference was discussion on retrieval techniques for large test collections. Different research groups used different techniques, such as automated thesauri, term weighting, natural language techniques, relevance feedback and advanced pattern matching, for information retrieval from the same large database. This procedure makes it possible to compare the results. The proceedings include papers, tables of the system results, and brief system descriptions including timing and storage information
- Imprint
- Gaithersburgh, MD : National Institute of Standards and Technology
-
Sievert, M.E.; McKinin, E.J.: Why full-text misses some relevant documents : an analysis of documents not retrieved by CCML or MEDIS (1989)
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- Abstract
- Searches conducted as part of the MEDLINE/Full-Text Research Project revealed that the full-text data bases of clinical medical journal articles (CCML (Comprehensive Core Medical Library) from BRS Information Technologies, and MEDIS from Mead Data Central) did not retrieve all the relevant citations. An analysis of the data indicated that 204 relevant citations were retrieved only by MEDLINE. A comparison of the strategies used on the full-text data bases with the text of the articles of these 204 citations revealed that 2 reasons contributed to these failure. The searcher often constructed a restrictive strategy which resulted in the loss of relevant documents; and as in other kinds of retrieval, the problems of natural language caused the loss of relevant documents.
- Date
- 9. 1.1996 10:22:31
- Imprint
- Medford, New Jersey : Learned Information
- Source
- ASIS'89. Managing information and technology. Proceedings of the 52nd annual meeting of the American Society for Information Science, Washington D.C., 30.10.-2.11.1989. Vol.26. Ed.by J. Katzer and G.B. Newby
-
Petrelli, D.: On the role of user-centred evaluation in the advancement of interactive information retrieval (2008)
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- Abstract
- This paper discusses the role of user-centred evaluations as an essential method for researching interactive information retrieval. It draws mainly on the work carried out during the Clarity Project where different user-centred evaluations were run during the lifecycle of a cross-language information retrieval system. The iterative testing was not only instrumental to the development of a usable system, but it enhanced our knowledge of the potential, impact, and actual use of cross-language information retrieval technology. Indeed the role of the user evaluation was dual: by testing a specific prototype it was possible to gain a micro-view and assess the effectiveness of each component of the complex system; by cumulating the result of all the evaluations (in total 43 people were involved) it was possible to build a macro-view of how cross-language retrieval would impact on users and their tasks. By showing the richness of results that can be acquired, this paper aims at stimulating researchers into considering user-centred evaluations as a flexible, adaptable and comprehensive technique for investigating non-traditional information access systems.
- Footnote
- Beitrag eines Themenbereichs: Evaluation of Interactive Information Retrieval Systems
- Source
- Information processing and management. 44(2008) no.1, S.22-38
-
Voorhees, E.M.; Harman, D.: Overview of the Sixth Text REtrieval Conference (TREC-6) (2000)
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- Date
- 11. 8.2001 16:22:19
- Source
- Information processing and management. 36(2000) no.1, S.3-36
-
Dalrymple, P.W.: Retrieval by reformulation in two library catalogs : toward a cognitive model of searching behavior (1990)
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- Date
- 22. 7.2006 18:43:54
- Source
- Journal of the American Society for Information Science. 41(1990) no.4, S.272-281
-
McGill, M.J.; Huitfeldt, J.: Experimental techniques of information retrieval (1979)
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- Source
- Annual review of information science and technology. 14(1979), S.93-128
-
Ellis, D.: Progress and problems in information retrieval (1996)
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- Abstract
- An introduction to the principal generic approaches to information retrieval research with their associated concepts, models and systems, this text is designed to keep the information professional up to date with the major themes and developments that have preoccupied researchers in recent month in relation to textual and documentary retrieval systems.
- COMPASS
- Information retrieval
- Content
- First published 1991 as New horizons in information retrieval
- Date
- 26. 7.2002 20:22:46
- Footnote
- Rez. in: Managing information 3(1996) no.10, S.49 (D. Bawden); Program 32(1998) no.2, S.190-192 (C. Revie)
- LCSH
- Information retrieval
- Subject
- Information retrieval
Information retrieval
-
Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011)
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- Date
- 22. 1.2011 14:20:56
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.375-394
-
Saracevic, T.: On a method for studying the structure and nature of requests in information retrieval (1983)
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- Pages
- S.22-25
- Series
- Proceedings of the American Society for Information Science; vol. 20
- Source
- Productivity in the information age : proceedings of the 46th ASIS annual meeting, 1983. Ed.: Raymond F Vondra
-
Allan, J.; Callan, J.P.; Croft, W.B.; Ballesteros, L.; Broglio, J.; Xu, J.; Shu, H.: INQUERY at TREC-5 (1997)
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- Date
- 27. 2.1999 20:55:22
- Imprint
- Gaithersburgh, MD : National Institute of Standards and Technology
-
Ng, K.B.; Loewenstern, D.; Basu, C.; Hirsh, H.; Kantor, P.B.: Data fusion of machine-learning methods for the TREC5 routing tak (and other work) (1997)
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- Date
- 27. 2.1999 20:59:22
- Imprint
- Gaithersburgh, MD : National Institute of Standards and Technology
-
Larsen, B.; Ingwersen, P.; Lund, B.: Data fusion according to the principle of polyrepresentation (2009)
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- Abstract
- We report data fusion experiments carried out on the four best-performing retrieval models from TREC 5. Three were conceptually/algorithmically very different from one another; one was algorithmically similar to one of the former. The objective of the test was to observe the performance of the 11 logical data fusion combinations compared to the performance of the four individual models and their intermediate fusions when following the principle of polyrepresentation. This principle is based on cognitive IR perspective (Ingwersen & Järvelin, 2005) and implies that each retrieval model is regarded as a representation of a unique interpretation of information retrieval (IR). It predicts that only fusions of very different, but equally good, IR models may outperform each constituent as well as their intermediate fusions. Two kinds of experiments were carried out. One tested restricted fusions, which entails that only the inner disjoint overlap documents between fused models are ranked. The second set of experiments was based on traditional data fusion methods. The experiments involved the 30 TREC 5 topics that contain more than 44 relevant documents. In all tests, the Borda and CombSUM scoring methods were used. Performance was measured by precision and recall, with document cutoff values (DCVs) at 100 and 15 documents, respectively. Results show that restricted fusions made of two, three, or four cognitively/algorithmically very different retrieval models perform significantly better than do the individual models at DCV100. At DCV15, however, the results of polyrepresentative fusion were less predictable. The traditional fusion method based on polyrepresentation principles demonstrates a clear picture of performance at both DCV levels and verifies the polyrepresentation predictions for data fusion in IR. Data fusion improves retrieval performance over their constituent IR models only if the models all are quite conceptually/algorithmically dissimilar and equally and well performing, in that order of importance.
- Date
- 22. 3.2009 18:48:28
- Source
- Journal of the American Society for Information Science and Technology. 60(2009) no.4, S.646-654
-
Strzalkowski, T.; Perez-Carballo, J.: Natural language information retrieval : TREC-4 report (1996)
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- Imprint
- Gaithersburgh, MD : National Institute of Standards and Technology
-
Newby, G.B.: Metric multidimensional information space (1997)
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- Imprint
- Gaithersburgh, MD : National Institute of Standards and Technology
-
Harman, D.: ¬The Text REtrieval Conferences (TRECs) : providing a test-bed for information retrieval systems (1998)
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- Abstract
- The Text REtrieval Conference (TREC) workshop series encourages research in information retrieval from large text applications by providing a large test collection, uniform scoring procedures and a forum for organizations interested in comparing their results. Now in its seventh year, the conference has become the major experimental effort in the field. Participants in the TREC conferences have examined a wide variety of retrieval techniques, including methods using automatic thesauri, sophisticated term weighting, natural language techniques, relevance feedback and advanced pattern matching. The TREC conference series is co-sponsored by the National Institute of Standards and Technology (NIST) and the Information Technology Office of the Defense Advanced Research Projects Agency (DARPA)
- Source
- Bulletin of the American Society for Information Science. 24(1998), April/May, S.11-13
-
Smithson, S.: Information retrieval evaluation in practice : a case study approach (1994)
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- Abstract
- The evaluation of information retrieval systems is an important yet difficult operation. This paper describes an exploratory evaluation study that takes an interpretive approach to evaluation. The longitudinal study examines evaluation through the information-seeking behaviour of 22 case studies of 'real' users. The eclectic approach to data collection produced behavioral data that is compared with relevance judgements and satisfaction ratings. The study demonstrates considerable variations among the cases, among different evaluation measures within the same case, and among the same measures at different stages within a single case. It is argued that those involved in evaluation should be aware of the difficulties, and base any evaluation on a good understanding of the cases in question
- Source
- Information processing and management. 30(1994) no.2, S.205-221
-
Sanderson, M.: ¬The Reuters test collection (1996)
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- Source
- Information retrieval: new systems and current research. Proceedings of the 16th Research Colloquium of the British Computer Society Information Retrieval Specialist Group, Drymen, Scotland, 22-23 Mar 94. Ed.: R. Leon
-
Lespinasse, K.: TREC: une conference pour l'evaluation des systemes de recherche d'information (1997)
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- Abstract
- TREC ia an annual conference held in the USA devoted to electronic systems for large full text information searching. The conference deals with evaluation and comparison techniques developed since 1992 by participants from the research and industrial fields. The work of the conference is destined for designers (rather than users) of systems which access full text information. Describes the context, objectives, organization, evaluation methods and limits of TREC
- Date
- 1. 8.1996 22:01:00
-
Losee, R.M.: Determining information retrieval and filtering performance without experimentation (1995)
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- Abstract
- The performance of an information retrieval or text and media filtering system may be determined through analytic methods as well as by traditional simulation or experimental methods. These analytic methods can provide precise statements about expected performance. They can thus determine which of 2 similarly performing systems is superior. For both a single query terms and for a multiple query term retrieval model, a model for comparing the performance of different probabilistic retrieval methods is developed. This method may be used in computing the average search length for a query, given only knowledge of database parameter values. Describes predictive models for inverse document frequency, binary independence, and relevance feedback based retrieval and filtering. Simulation illustrate how the single term model performs and sample performance predictions are given for single term and multiple term problems
- Date
- 22. 2.1996 13:14:10
- Source
- Information processing and management. 31(1995) no.4, S.555-572
