Advances in Information Retrieval: 36th European Conference by Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang

By Maarten de Rijke, Tom Kenter, Arjen P. de Vries, ChengXiang Zhai, Franciska de Jong, Kira Radinsky, Katja Hofmann

This ebook constitutes the complaints of the thirty sixth ecu convention on IR examine, ECIR 2014, held in Amsterdam, The Netherlands, in April 2014.

The 33 complete papers, 50 poster papers and 15 demonstrations provided during this quantity have been conscientiously reviewed and chosen from 288 submissions. The papers are prepared within the following topical sections: review, suggestion, optimization, semantics, aggregation, queries, mining social media, electronic libraries, potency, and data retrieval conception. additionally integrated are three instructional and four workshop presentations.

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Extra info for Advances in Information Retrieval: 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings

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Retrievability: An evaluation measure for higher order information access tasks. In: Proc. of the 17th ACM CIKM, pp. 561–570 (2008) 4. : On the relationship bw query characteristics and ir functions retrieval bias. J. Am. Soc. Inf. Sci. Technol. 62(8), 1515–1532 (2011) Best and Fairest: An Empirical Analysis of Retrieval System Bias 25 5. : Bridging language modeling and divergence from randomness models: A log-logistic model for ir. , Yilmaz, E. ) ICTIR 2009. LNCS, vol. 5766, pp. 54–65. Springer, Heidelberg (2009) 6.

In the expectation step (E-step), real-valued pseudo-judgments are estimated using the document rankings produced by a diverse range of systems. The loss between the result vector of a system and the pseudojudgment vector is then calculated for each system. In the maximization step (M-step), the weights of systems are tuned to minimize the loss with respect to the pseudojudgments. The E-step and M-step alternate until the values converge to a fixed point. The final real-valued pseudo-judgments of the documents are then taken as estimates of document relevance, and used to evaluate retrieval systems, for instance by binarizing relevance at a prediction threshold and then calculating an effectiveness metric.

BordaCount is equivalent to the Borda count method of Nuray and Can [11]. Additionally, we reimplement two other previously published baselines for the zero-judgment task, the Condorcet method [11] and Soboroff’s random-voting method [12]. Table 2 indicates the effect of EM, with (+) when EM numerically improves the reliability measure τ or τap over the first E-step alone, and (-) to indicate a numerically adverse affect. 05. Taking TREC MAP@1k as ground truth scores, Figure 1 shows the difference between the estimated and ground truth MAP@1k score.

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