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Kuriyama, K.; Kando, N.; Nozue, T.; Eguchi, K.: Pooling for a large-scale test collection : an analysis of the search results from the First NTCIR Workshop (2002)
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- Information retrieval. 5(2002), S.41-59
- Year
- 2002
-
Bar-Ilan, J.: Methods for measuring search engine performance over time (2002)
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- Journal of the American Society for Information Science and technology. 53(2002) no.4, S.308-319
- Year
- 2002
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Blair, D.C.: Some thoughts on the reported results of TREC (2002)
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- Information processing and management. 38(2002) no.3, S.445-451
- Year
- 2002
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Morse, E.; Lewis, M.; Olsen, K.A.: Testing visual information retrieval methodologies case study : comparative analysis of textual, icon, graphical, and "spring" displays (2002)
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- Journal of the American Society for Information Science and technology. 53(2002) no.1, S.28-40
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- 2002
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Zhang, X.: Collaborative relevance judgment : a group consensus method for evaluating user search performance (2002)
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- Journal of the American Society for Information Science and technology. 53(2002) no.3, S.220-231
- Year
- 2002
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Ferret, O.; Grau, B.; Hurault-Plantet, M.; Illouz, G.; Jacquemin, C.; Monceaux, L.; Robba, I.; Vilnat, A.: How NLP can improve question answering (2002)
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- Knowledge organization. 29(2002) nos.3/4, S.135-155
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- 2002
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Maglaughlin, K.L.; Sonnenwald, D.H.: User perspectives an relevance criteria : a comparison among relevant, partially relevant, and not-relevant judgements (2002)
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- Journal of the American Society for Information Science and technology. 53(2002) no.5, S.327-342
- Year
- 2002
-
Tomaiuolo, N.G.; Parker, J.: Maximizing relevant retrieval : keyword and natural language searching (1998)
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- Online. 22(1998) no.6, S.57-58
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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
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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
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Radev, D.R.; Libner, K.; Fan, W.: Getting answers to natural language questions on the Web (2002)
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- Journal of the American Society for Information Science and technology. 53(2002) no.5, S.359-364
- Year
- 2002
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Kekäläinen, J.; Järvelin, K.: Using graded relevance assessments in IR evaluation (2002)
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- Journal of the American Society for Information Science and technology. 53(2002) no.13, S.1120-xxxx
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- 2002
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Eastman, C.M.: 30,000 hits may be better than 300 : precision anomalies in Internet searches (2002)
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- Journal of the American Society for Information Science and Technology. 53(2002) no.11, S.879-882
- Year
- 2002
-
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
-
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
-
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
-
Ruthven, I.; Lalmas, M.; Rijsbergen, K. van: Combining and selecting characteristics of information use (2002)
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- Source
- Journal of the American Society for Information Science and technology. 53(2002) no.5, S.378-396
- Year
- 2002
-
Serrano Cobos, J.; Quintero Orta, A.: Design, development and management of an information recovery system for an Internet Website : from documentary theory to practice (2003)
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- Source
- Challenges in knowledge representation and organization for the 21st century: Integration of knowledge across boundaries. Proceedings of the 7th ISKO International Conference Granada, Spain, July 10-13, 2002. Ed.: M. López-Huertas
-
Abdou, S.; Savoy, J.: Searching in Medline : query expansion and manual indexing evaluation (2008)
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- Abstract
- Based on a relatively large subset representing one third of the Medline collection, this paper evaluates ten different IR models, including recent developments in both probabilistic and language models. We show that the best performing IR models is a probabilistic model developed within the Divergence from Randomness framework [Amati, G., & van Rijsbergen, C.J. (2002) Probabilistic models of information retrieval based on measuring the divergence from randomness. ACM-Transactions on Information Systems 20(4), 357-389], which result in 170% enhancements in mean average precision when compared to the classical tf idf vector-space model. This paper also reports on our impact evaluations on the retrieval effectiveness of manually assigned descriptors (MeSH or Medical Subject Headings), showing that by including these terms retrieval performance can improve from 2.4% to 13.5%, depending on the underling IR model. Finally, we design a new general blind-query expansion approach showing improved retrieval performances compared to those obtained using the Rocchio approach.
-
Rijsbergen, C.J. van: ¬A test for the separation of relevant and non-relevant documents in experimental retrieval collections (1973)
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- Date
- 19. 3.1996 11:22:12
