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Download Advances in Information Retrieval: 35th European Conference by Aleksandr Chuklin, Pavel Serdyukov, Maarten de Rijke PDF

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By Aleksandr Chuklin, Pavel Serdyukov, Maarten de Rijke (auth.), Pavel Serdyukov, Pavel Braslavski, Sergei O. Kuznetsov, Jaap Kamps, Stefan Rüger, Eugene Agichtein, Ilya Segalovich, Emine Yilmaz (eds.)

This ebook constitutes the lawsuits of the thirty fifth eu convention on IR examine, ECIR 2013, held in Moscow, Russia, in March 2013. The fifty five complete papers, 38 poster papers and 10 demonstrations offered during this quantity have been rigorously reviewed and chosen from 287 submissions. The papers are geared up within the following topical sections: consumer points; multimedia and cross-media IR; information mining; IR conception and formal types; IR process architectures; type; net; occasion detection; temporal IR, and microblog seek. additionally integrated are four educational and a pair of workshop presentations.

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Extra info for Advances in Information Retrieval: 35th European Conference on IR Research, ECIR 2013, Moscow, Russia, March 24-27, 2013. Proceedings

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Com Understanding Relevance: An fMRI Study 21 Trilinear detection/sinc interpolation. This was followed by normalisation of functional scans into the common Talairach space [23], and corregistration of functional and anatomical data. Finally, spatial smoothing using a Gaussian kernel of 6mm, linear trend removal, and temporal high pass filter with a cutoff of 2 cycles, were applied to create volume timecourses (VTCs) for each participant. Log Analysis. In this section we analyse the accuracy of the relevance judgement provided by the participant during the course of the experiment.

4. 2 Other Models We also implemented the DBN [7], DCM [15] and RBP [21] click models. Since these models all performed significantly worse than UBM on our data, they also performed worse than our UBM-IA click model. As we mentioned previously, Chen et al. [8] also addressed the problem of verticals by a click model. We can consider their model as a state-of-the-art click model for diversified search. While the main focus of that work was on visually appealing verticals (containing images or video) we can assume that our fresh results are similar to their News vertical.

Because we have much less data (121,431 sessions corresponding to 42,049 unique queries) our bootstrap confidence intervals are wide, wider than in Fig. 3(a). From the plot we see that only including layout information does not help, and that the best model in this situation is UBM-intents, which affirms our hypothesis. Gain per rank. The results so far report on perplexity gains over the complete SERP. We now examine the perplexity gains per individual ranking position to analyze our click models in more detail.

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