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Harman, D.K.: ¬The TREC test collections (2005)
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- 2005
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Buckley, C.; Voorhees, E.M.: Retrieval system evaluation (2005)
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- 2005
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Harman, D.K.: ¬The TREC ad hoc experiments (2005)
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- 2005
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Robertson, S.; Callan, J.: Routing and filtering (2005)
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- 2005
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Harman, D.K.: Beyond English (2005)
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- 2005
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Voorhees, E.M.; Garofolo, J.S.: Retrieving noisy text (2005)
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Voorhees, E.M.: Question answering in TREC (2005)
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- Year
- 2005
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Cormack, G.V.; Clarke, C.L.A.; Palmer, C.R.; Lynam, T.R.: MultiText experiments for TREC (2005)
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- 2005
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Dumais, S.T.; Belkin, N.J.: ¬The TREC interactive tracks : putting the user into search (2005)
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- 2005
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Hawking, D.; Craswell, N.: ¬The very large collection and Web tracks (2005)
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- 2005
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Allan, J.; Croft, W.B.; Callan, J.: ¬The University of Massachusetts and a dozen TRECs (2005)
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Robertson, S.: How Okapi came to TREC (2005)
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Buckley, C.: ¬The SMART Project at TREC (2005)
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Kwok, K.-L.: Ten years of ad hoc retrieval at TREC using PIRCS (2005)
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Hiemstra, D.; Kraaij, W.: ¬A language-modeling approach to TREC (2005)
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Sparck Jones, K.: Metareflections on TREC (2005)
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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
-
Grasso, L.L.; Wahlig, H.: Google und seine Suchparameter : Eine Top 20-Precision Analyse anhand repräsentativ ausgewählter Anfragen (2005)
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- Source
- Information - Wissenschaft und Praxis. 56(2005) H.2, S.77-86
- Year
- 2005
-
Brown, E.W.; Carmel, D.; Franz, M.; Ittycheriah, A.; Kanungo, T.; Maarek, Y.; McCarley, J.S.; Mack, R.L.; Prager, J.M.; Smith, J.R.; Soffer, A.; Zien, J.Y.; Marwick, A.D.: IBM research activities at TREC (2005)
0.02
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- 2005
-
Kluck, M.; Winter, M.: Topic-Entwicklung und Relevanzbewertung bei GIRT : ein Werkstattbericht (2006)
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- Abstract
- Der Zusammenhang zwischen Topic-Entwicklung und Relevanzbewertung wird anhand einiger Fallbeispiele aus der CLEF-Evaluierungskampagne 2005 diskutiert. Im fachspezifischen Retrievaltest für multilinguale Systeme wurden die Topics am Dokumentenbestand von GIRT entwickelt. Die Zusammenhänge von Topic-Formulierung und Interpretationsspielräumen bei der Relevanzbewertung werden untersucht.
- Source
- Effektive Information Retrieval Verfahren in Theorie und Praxis: ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005. Hrsg.: T. Mandl u. C. Womser-Hacker
