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By Mounia Lalmas, Andrew MacFarlane, Stefan Rüger, Anastasios Tombros, Theodora Tsikrika, Alexei Yavlinsky

th those court cases include the refereed papers and posters awarded on the 28 Annual eu convention on info Retrieval (ECIR 2006), which used to be held at Imperial collage London in South Kensington among April 10 and 12, 2006. ECIR is the yearly convention of the British laptop Society’s Inf- mation Retrieval professional staff. the development all started its lifestyles as a colloquium in 1978 and used to be held within the united kingdom every year until eventually 1998, while the development happened in Grenoble, France. in view that then the venue has alternated among the united kingdom and Continental Europe. within the final decade ECIR has grown to turn into the most important Europeanforumforthediscussionofresearchinthe?eldofinformationretrieval. ECIR 2006 bought 177 paper and seventy three poster submissions, mostly from the united kingdom (18%) and Continental Europe (50%), yet we had many sub- missions from furthera?eldincludingAmerica(7%),Asia(21%),Middle EastandAfrica(2%), and Australasia (2%). In overall 37 papers and 28 posters have been permitted, and papers have been switched over to posters. All contributions have been reviewed by means of at the very least 3 reviewers in a double nameless strategy after which ranked in the course of a ProgrammeCommittee assembly with respectto scienti?c caliber andoriginality. it's a stable and fit signal for info retrieval typically, and ECIR particularly, that the submission fee has greater than doubled during the last 3 years. the disadvantage, after all, is that many fine quality submissions needed to be rejected due to a constrained skill of the conference.

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Additional resources for Advances in Information Retrieval: 28th European Conference on IR Research, ECIR 2006, London, UK, April 10-12, 2006. Proceedings

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A study of the Dirichlet priors for term frequency normalisation. In SIGIR ’05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 2005), ACM Press, pp. 465–471. 14. , AND M ERCER , R. Interpolated estimation of markov source parameters from sparse data. In Pattern Recognition in Practice (Amsterdam, Netherlands, 1980), NorthHolland, pp. 381–397. 15. , AND Z HAI , C. Document Language Models, Query Models, and Risk Minimization for Information Retrieval.

7. B ROWN , P. , D ELLA P IETRA , S. , D ELLA P IETRA , V. , L AFFERTY, J. , M ERCER , R. , AND ROOSSIN , P. S. A statistical approach to machine translation. Computational Linguistics 16, 2 (June 1990), 79–85. 8. , AND B IGI , B. An information theoretic approach to automatic query expansion. ACM Transactions on Information Systems 19, 1 (2001), 1–27. 9. F ELLER , W. An introduction to probability theory and its applications. Vol. I, third ed. , New York, 1968. 10. G OOD , I. J. The Estimation of Probabilities: an Essay on Modern Bayesian Methods, vol.

P@5 and P@10, and the non-interpolated mean average precision (MAP) to measure the performance. Note that the number of documents within each topic is different and some topics contain even less than 5 documents, so its corresponding precisions may be low. But these circumstances do not affect the comparison of the performance for different measures. 1 Similarity Measure Comparison The results of MAP, P@10 and P@20 for different similarity measures are shown and compared in Figure 1. For the PTD-based measure and the OM-based measure, the performance is dependent on the document decomposition algorithm, so we plot the highest precisions they achieve based on the TextTling algorithm.

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