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

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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 e-book constitutes the court cases of the thirty fifth ecu convention on IR study, 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 elements; multimedia and cross-media IR; info mining; IR idea and formal versions; IR approach architectures; class; internet; occasion detection; temporal IR, and microblog seek. additionally incorporated are four educational and a couple of workshop presentations.

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Additional 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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A huge body of research exists that attempts to understand this concept so as to operationalize it for IR systems. ” is still a big challenge. In this paper, we investigate the connection between relevance and brain activity. Using functional Magnetic Resonance Imaging (fMRI), we measured the brain activity of eighteen participants while they performed four topical relevance assessment tasks on relevant and non-relevant images. The results of this experiment revealed three brain regions in the frontal, parietal and temporal cortex where brain activity differed between processing relevant and non-relevant documents.

Moshfeghi et al. controlled by viewing relevant and non-relevant images corresponding to a task. The dependent variable was brain activities revealed by the BOLD signal. Task. Four search tasks were selected from the ImageCLEF 2009 - Photo Retrieval Task3 . , the concept “Olympic Torch” (topic 11) was chosen rather than “Brussels Airport” (topic 3), assuming that olympic torch is a more familiar concept than Brussels airport. For each topic shown in Table 1, five relevant and five non-relevant images were selected from the relevance assessment set (Qrel) provided for this ImageCLEF task4 .

IR systems use an operationalized version of relevance. This concentrates on the retrieval algorithms that process information objects and match them with users’ queries, attempting to maximise retrieval of relevant information objects (system side of relevance). Users of such systems then browse through retrieved results to find what they consider relevant (user side of relevance) depending on their context, cognition, and/or affect. The system and user sides of relevance are complementary, and in order to improve the performance of IR systems, the user and system sides should work together [1].

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