Download Advances in Information Retrieval: 29th European Conference by Andrei Broder (auth.), Giambattista Amati, Claudio PDF

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

This ebook constitutes the refereed court cases of the twenty ninth annual ecu convention on info Retrieval study, ECIR 2007, held in Rome, Italy in April 2007. The forty two revised complete papers and 19 revised brief papers offered 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 conception and layout, potency, peer-to-peer networks, end result merging, queries, relevance suggestions, evaluate, type and clustering, filtering, subject id, specialist 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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28–39, 2007. c Springer-Verlag Berlin Heidelberg 2007 Multinomial Randomness Models for Retrieval with Document Fields 29 normalisation applied to each field depends on the nature of the corresponding field. Zaragoza et al. [17] introduced a field-based version of BM25, called BM25F, which applies term frequency normalisation and weighting of the fields independently. Macdonald et al. [7] also introduced normalisation 2F in the Divergence From Randomness (DFR) framework [1] for performing independent term frequency normalisation and weighting of fields.

However, computing the similarity between the query “Apple computer” and a full document about “apple pie” will produce a low similarity score since the document contains proportionally less text that is relevant to the query, especially compared to a full document about “Apple business news”. In this paper, we explore the problem of measuring similarity between short segments of text from an information retrieval perspective. Studies in the past have investigated the problem from a machine learning point of view and provided few, if any comparisons to standard text similarity measures.

We indicated the architecture of the PF/Tijah XML IR system as a possible foundation to build upon, and the Matrix Framework for IR as a very well-suited abstraction to express retrieval strategies. Finally, we showed how SRAM can operationalise the Matrix Framework on top of a database system. The result of this effort is Spiegle: the first prototype of parameterised XML search system. Future work includes further exploiting the array abstraction for the implementation of structure operations. This will allow for simpler inclusion of structural information in the retrieval strategy and better opportunities for optimising the final relational query plan.

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