Get Advances in Information Retrieval: 30th European Conference PDF

By Nicholas J. Belkin (auth.), Craig Macdonald, Iadh Ounis, Vassilis Plachouras, Ian Ruthven, Ryen W. White (eds.)


This booklet constitutes the refereed lawsuits of the thirtieth annual eu convention on details Retrieval examine, ECIR 2008, held in Glasgow, united kingdom, in March/April 2008.

The 33 revised complete papers and 19 revised brief papers awarded including the abstracts of three invited lectures and 32 poster papers have been rigorously reviewed and chosen from 139 complete article submissions. The papers are geared up in topical sections on review, internet IR, social media, cross-lingual details retrieval, idea, video, illustration, wikipedia and e-books, in addition to specialist search.

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Sample text

2 Related Work Clickthrough. Two early studies use clickthrough data to alter document rankings; one using weight functions and support vector machines [10], and the other modifying the vector space model [13]. The underlying assumption that clicks imply relevance, however, was not investigated in these papers. Fox et al. [8] examined clickthrough and other user behaviour and found that a combination of implicit relevance judgements (clickthrough, time spent on search results page, and how a search session ended) correlated reasonably well with explicit judgements.

Some of the queries had clear intent, but most were vague, underspecified, or had myriad possible intents. The queries can generally be considered “informational”; examples include “andie mcdowell”, “binghamton”, “soda pop and oral hygiene”. Assessors. The six assessors were Microsoft employees. All assessors had backgrounds in information retrieval or related fields and had experience in judging web pages for relevance. Web Pages. For each query, we took the top five web pages retrieved by three large search engines.

The document and query discount parameters are important for realism because initial queries may not be successful and searching time may be limited. The new parameters allow assessing performance over a range of searcher/task scenarios. The complexity is a strength that allows bringing realism to evaluation and does not assume that all searchers or contexts are alike. Setting the parameters in each evaluation case depends on the evaluation purposes and should be based on relevant findings on searcher behavior or simulation scenarios exploring a range of searcher behaviors.

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