Download e-book for kindle: Advances in Information Retrieval: 29th European Conference by Andrei Broder (auth.), Giambattista Amati, Claudio

By Andrei Broder (auth.), Giambattista Amati, Claudio Carpineto, Giovanni Romano (eds.)

ISBN-10: 3540714944

ISBN-13: 9783540714941

ISBN-10: 3540714960

ISBN-13: 9783540714965

This e-book constitutes the refereed complaints of the twenty ninth annual eu convention on details Retrieval examine, ECIR 2007, held in Rome, Italy in April 2007. The forty two revised complete papers and 19 revised brief papers awarded including three keynote talks and 21 poster papers have been rigorously reviewed and chosen from 220 article submissions and seventy two poster paper submissions. The papers are equipped in topical sections on concept and layout, potency, peer-to-peer networks, outcome merging, queries, relevance suggestions, evaluate, class and clustering, filtering, subject id, professional discovering, XML IR, internet IR, and multimedia IR.

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Extra info for Advances in Information Retrieval: 29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007. Proceedings

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IP&M 42(1) (2005) 4–30 7. : Comprehension syntax. SIGMOD Record 23(1) (1994) 87–96 8. : Templates for the solution of algebraic eigenvalue problems: a practical guide. SIAM (2000) 9. : Flexible and efficient IR using Array Databases. Technical Report INS-E0701, CWI (2007) 10. : Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? In: Proc. CIDR, Asilomar, CA, USA (2005) 1–12 11. : Report on the DB/IR Panel at Sigmod 2005. SIGMOD Record 34(4) (2005) 71–74 12. : The INQUERY retrieval system.

In−1 , v) = {(i0 , . . , in−1 , A(i)) | A(i) = εA }. This storage scheme naturally extends to dense arrays, for which all tuples are stored physically. Data access patterns are optimised by creating standard relational indexing structures on top of such relations, or by explicit tuple clustering/sorting (the index columns form the relation’s primary key). The life-cycle of array queries through the SRAM architecture can be summarised by the following sequence of transformations: Array comprehension → 14 R.

J. Relevance Feedback in Information Retrieval, pages 313-323. PrenticeHall, 1971. [11] Sahami, M. and Heilman, T. A web-based kernel function for measuring the similarity of short text snippets. In Proceedings of WWW 2006, pages 377-386, 2006. , Croft, W. B. Indri: A language model-based search engine for complex queries. In Proceedings of the International Conference on Intelligence Analysis, 2005. [13] Zhai, C. and Lafferty, J. A study of smoothing methods for language models applied to ad hoc information retrieval.

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Advances in Information Retrieval: 29th European Conference on IR Research, ECIR 2007, Rome, Italy, April 2-5, 2007. Proceedings by Andrei Broder (auth.), Giambattista Amati, Claudio Carpineto, Giovanni Romano (eds.)


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