Download Advances in Information Retrieval: 28th European Conference by Mounia Lalmas, Andrew MacFarlane, Stefan Rüger, Anastasios PDF

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

th those lawsuits comprise the refereed papers and posters awarded on the 28 Annual ecu convention on details Retrieval (ECIR 2006), which was once held at Imperial collage London in South Kensington among April 10 and 12, 2006. ECIR is the yearly convention of the British machine Society’s Inf- mation Retrieval expert workforce. the development begun its lifestyles as a colloquium in 1978 and was once held within the united kingdom every year until eventually 1998, while the development happened in Grenoble, France. on the grounds that then the venue has alternated among the united kingdom and Continental Europe. within the final decade ECIR has grown to develop into the main Europeanforumforthediscussionofresearchinthe?eldofinformationretrieval. ECIR 2006 got 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 authorised, and papers have been switched over to posters. All contributions have been reviewed via a minimum of 3 reviewers in a double nameless procedure after which ranked in the course of a ProgrammeCommittee assembly with respectto scienti?c caliber andoriginality. it's a reliable and fit signal for info retrieval regularly, and ECIR particularly, that the submission price has greater than doubled over the last 3 years. the drawback, in fact, is that many top quality submissions needed to be rejected because of a restricted skill of the conference.

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26. , AND L AFFERTY, J. Model-based Feedback in the Language Modeling Approach to Information Retrieval. In ClKM 2001 (Atlanta, Georgia, USA, November 5-10 2001), ACM Press, New York, NY, USA, pp. 334–342. 27. , AND L AFFERTY, J. A Study of Smoothing Methods for Language Models Applied to Information Retrieval. ACM Transactions on Information Systems 22, 2 (April 2004), 179214. cn Abstract. A novel document similarity measure based on the Proportional Transportation Distance (PTD) is proposed in this paper.

4430 1. DFR approach computes the probability of observing two probabilities, while LM smoothes the MLE of a term in the document. 2. DFR approach weights terms according to the improbability of observing the MLE of a term in the document given the prior, and it is based on information theoretic notions, such as amount of information and uncertainty. LM instead weights the probability of observing the term in a document given a prior distribution. 3. In DFR approach there are no non-zero probabilities, that is when a term does not occur in a document it does not contribute at all to the document score.

A maximum likelihood approach to continuous speech recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-5, 2 (Mar. 1983), 179–190. 6. , AND L AFFERTY, J. Information retrieval as statistical translation. In SIGIR ’99: Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval (New York, NY, USA, 1999), ACM Press, pp. 222–229. 7. B ROWN , P. , D ELLA P IETRA , S. , D ELLA P IETRA , V. , L AFFERTY, J. , M ERCER , R.

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