Download e-book for iPad: Advances in Information Retrieval: 34th European Conference by Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo

By Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo Baeza-Yates, Arjen P. de Vries, Hugo Zaragoza, B. Barla Cambazoglu, Vanessa Murdock, Ronny Lempel, Fabrizio Silvestri (eds.)

ISBN-10: 3642289967

ISBN-13: 9783642289965

ISBN-10: 3642289975

ISBN-13: 9783642289972

This booklet constitutes the lawsuits of the thirty fourth ecu convention on IR examine, ECIR 2012, held in Barcelona, Spain, in April 2012. The 37 complete papers, 28 poster papers and seven demonstrations awarded during this quantity have been conscientiously reviewed and chosen from 167 submissions. The contributions are geared up in sections named: question illustration; blogs and online-community seek; semi-structured retrieval; assessment; purposes; retrieval versions; picture and video retrieval; textual content and content material class, categorisation, clustering; platforms potency; music; and posters.

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Extra info for Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings

Sample text

2. Distribution of the coverage of the original query before term additions and term removals before. We will now take a closer look at some modifications to understand better what causes this discrepancy. An example from the News logs of a removal that made the results more specific is the following. A searcher first used the query cleaner of the year. 5). The user then modified the query into cleaner, apparently to remove the irrelevant year results. This behavior is consistent with the union-based interpretation: searchers remove terms B from a query ‘A B’ to get rid of irrelevant results that are only about B.

1. Google OneBox (left) and Yahoo! Direct Display (right) Fig. 2. Yahoo! g. in Web news search [4], leading to significant boost in click-through rates. Recently, Yahoo! Search incorporated transactional widgets, essentially opening a vendor-specific application in its search page upon queries of transactional nature corresponding to the vendor’s business. Figure 2 a Netflix widget, in response to a movie-name query. In order to support such an experience, one must associate a set of queries with each transactional widget.

This heuristic approach produces good solutions in practice because most queries are not very ambiguous (entities mentioned in queries are typically associated with a single taxonomy node). Hence, overlaps between templates are not substantial – most pairs of templates are disjoint – and whatever large overlaps that do occur are typically due to one template generalizing the other (thus completely including its queries). Once a set of templates achieving certain recall is selected, any redundancies among templates are handled as follows: Modeling Transactional Queries via Templates 19 Fig.

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Advances in Information Retrieval: 34th European Conference on IR Research, ECIR 2012, Barcelona, Spain, April 1-5, 2012. Proceedings by Vera Hollink, Jiyin He, Arjen de Vries (auth.), Ricardo Baeza-Yates, Arjen P. de Vries, Hugo Zaragoza, B. Barla Cambazoglu, Vanessa Murdock, Ronny Lempel, Fabrizio Silvestri (eds.)


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