New PDF release: Advances in Information Retrieval: 33rd European Conference

By Kalervo Järvelin (auth.), Paul Clough, Colum Foley, Cathal Gurrin, Gareth J. F. Jones, Wessel Kraaij, Hyowon Lee, Vanessa Mudoch (eds.)

ISBN-10: 3642201601

ISBN-13: 9783642201608

ISBN-10: 364220161X

ISBN-13: 9783642201615

This booklet constitutes the refereed complaints of the thirty third annual ecu convention on info Retrieval learn, ECIR 2011, held in Dublin, eire, in April 2010. The forty five revised complete papers offered including 24 poster papers, 17 brief papers, and six software demonstrations have been conscientiously reviewed and chosen from 223 complete learn paper submissions and sixty four poster/demo submissions. The papers are prepared in topical sections on textual content categorization, recommender structures, internet IR, IR review, IR for Social Networks, cross-language IR, IR concept, multimedia IR, IR functions, interactive IR, and query answering /NLP.

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Extra resources for Advances in Information Retrieval: 33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings

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Global P(t j | ci ) = (1 − α ) Pglobal (t j | ci global ) + α Pglobal (t j ) (6) where α is a mixture weight (0 ≤ α ≤ 1) . Two parameters are estimated as follows: global Pglobal (t j | ci )= Pglobal (t j ) = ∑ ∑ tu ∈V ∑ t u ∈V global global ∑ ∑ d k ∈D global tf jk d k ∈ci d k ∈ci global tfuk (7) tf jk ∑ d k ∈D tfuk (8) where tf ji is the term frequency of term t j in top-level category ciglobal and V global is a set of terms selected by the chi-square feature selection method over the entire document collection.

In: International Conference on Machine Learning, pp. edu 2 Abstract. As high quality descriptors of web page semantics, social annotations or tags have been used for web document clustering and achieved promising results. However, most web pages have few tags(less than 10). This sparsity seriously limits the usage of tags on clustering. In this work, we propose a user-related tag expansion method to overcome the problem, which incorporates additional useful tags into the original tag document by utilizing user tagging as background knowledge.

A semantic approach to contextual advertising. In: 30th ACM SIGIR, pp. 559–566 (2007) 3. : Improving web search results using affinity graph. In: 28th ACM SIGIR, pp. 504–511 (2005) 4. : The ECIR 2010 large scale hierarchical classification workshop. SIGIR Forum. 44, 23–32 (2010) 5. : Hierarchical text classification and evaluation. In: IEEE ICDM, pp. 521–528 (2001) 6. : Support vector machines classification with a very large-scale taxonomy. ACM SIGKDD Explorations Newsletter 7, 36–43 (2005) 7.

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Advances in Information Retrieval: 33rd European Conference on IR Research, ECIR 2011, Dublin, Ireland, April 18-21, 2011. Proceedings by Kalervo Järvelin (auth.), Paul Clough, Colum Foley, Cathal Gurrin, Gareth J. F. Jones, Wessel Kraaij, Hyowon Lee, Vanessa Mudoch (eds.)


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