Download Advances in Information Retrieval: 33rd European Conference by Kalervo Järvelin (auth.), Paul Clough, Colum Foley, Cathal PDF

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

This e-book constitutes the refereed complaints of the thirty third annual ecu convention on details Retrieval examine, ECIR 2011, held in Dublin, eire, in April 2010. The forty five revised complete papers awarded 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 overview, IR for Social Networks, cross-language IR, IR thought, multimedia IR, IR functions, interactive IR, and query answering /NLP.

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

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1. Category Distributions at Different Levelsin theFiltered ODP 359733 313953 400000 300000 230477 200000 151225 150343 92499 100000 0 76 7827 1 2 39130 3 4 5 6 7 8 9 12511 875 10 11 13 12 Level Fig. 2. Document Distributions at Different Levels in Filtered ODP Figures 1 and 2 show the category and document distributions, respectively, at different levels after filtering. ODP contains 81,349 categories and 1,358, 649 documents. About 89% of the documents belong to the categories at the top 7 levels, and about 67% of them belong to the categories at the 4th, 5th, and 6th levels.

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.

This was achieved by drawing 5 URL samples from the above 10% URL subset, each containing 10,000 URLs. The samples were classified according to tagging users ranging from 1 to 5. The lightly labeled 22 P. Li et al. URLs were primarily examined, mainly because most web pages have few users as shown previously. From Figure 2(right), we can see that the more tagging users a URL has, the more probable additional new related terms appear in its constructed expanded tag documents. Even for the URLs with just one user, over 90% have new expanded tag terms.

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