Download e-book for iPad: Advances in Information Retrieval: 34th European Conference by Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo

By Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo Baeza-Yates, Arjen P. de Vries, Hugo Zaragoza, B. Barla Cambazoglu, Vanessa Murdock, Ronny Lempel, Fabrizio Silvestri (eds.)

ISBN-10: 3642289967

ISBN-13: 9783642289965

ISBN-10: 3642289975

ISBN-13: 9783642289972

This ebook constitutes the lawsuits of the thirty fourth ecu convention on IR study, ECIR 2012, held in Barcelona, Spain, in April 2012. The 37 complete papers, 28 poster papers and seven demonstrations provided during this quantity have been rigorously reviewed and chosen from 167 submissions. The contributions are equipped in sections named: question illustration; blogs and online-community seek; semi-structured retrieval; review; functions; retrieval types; photograph and video retrieval; textual content and content material class, categorisation, clustering; structures potency; music; and posters.

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This booklet constitutes the complaints of the thirty fourth ecu convention on IR examine, ECIR 2012, held in Barcelona, Spain, in April 2012. The 37 complete papers, 28 poster papers and seven demonstrations provided during this quantity have been conscientiously reviewed and chosen from 167 submissions. The contributions are equipped in sections named: question illustration; blogs and online-community seek; semi-structured retrieval; evaluate; purposes; retrieval types; photograph and video retrieval; textual content and content material type, categorisation, clustering; platforms potency; song; and posters.

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Extra resources for Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings

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3% of queries were subsequently repeated by the same user, which is somewhere between the 33% [15] and 50% [13] reported for web data. 4% of all queries were repeated across users. Again this is very similar to the figure reported for web data. This is somewhat surprising given the very personal nature of emails in comparison to the web. Examples of queries that overlapped were common fore/surnames, names of events and software and terms that one can imagine being frequently searched, such as “deadline”.

Markovian analysis for automatic new topic identification in search engine transaction logs. : Log Analysis of Multilingual Image Searches in Flickr. , Petras, V. ) CLEF 2008. LNCS, vol. 5706, pp. 236– 242. : Analysis of multiple query reformulations on the web: the interactive information retrieval context. : Exploiting Result Consistency to Select Query Expansions for Spoken Content Retrieval. , van Rijsbergen, K. ) ECIR 2010. LNCS, vol. 5993, pp. 645–648. : Data mining of search engine logs.

Another related topic is query intent classification where Web search queries are classified into the Broder taxonomy [2] of informational, navigational and Modeling Transactional Queries via Templates 17 transactional goals. Automatic query intent classification approaches [6,7,8,9] mostly rely on constructing features to represent the query and building a classification model. Among these, Kang et al. [8] specifically address transactional intent. Similar to other works, their model builds a feature vector for each query and trains a classifier on the feature representations.

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Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings by Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo Baeza-Yates, Arjen P. de Vries, Hugo Zaragoza, B. Barla Cambazoglu, Vanessa Murdock, Ronny Lempel, Fabrizio Silvestri (eds.)


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