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This e-book constitutes the lawsuits of the thirty fourth ecu convention on IR study, ECIR 2012, held in Barcelona, Spain, in April 2012. The 37 complete papers, 28 poster papers and seven demonstrations offered 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; review; functions; retrieval versions; snapshot and video retrieval; textual content and content material category, categorisation, clustering; structures potency; tune; 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
Analyzing and evaluating query reformulation strategies in web search logs. In: CIKM 2009, pp. : Patterns of query reformulation during web searching. : An analysis of multimedia searching on AltaVista. In: MIR 2003, pp. : Query word deletion prediction. In: SIGIR 2003, pp. : Image querying by image professionals. : The measurement of observer agreement for categorical data. : Markovian analysis for automatic new topic identification in search engine transaction logs. : Log Analysis of Multilingual Image Searches in Flickr.
5 We reuse semantic interpretations produced by the query linguistic analyzer, see Section 5. Modeling Transactional Queries via Templates 23 Performance tests have shown that our use-case identiﬁcation service can handle production workloads with latencies of a few dozens of milliseconds. 6 ms, whereas the 95-percentile latency was 46 ms. Using standard service replication techniques, several server nodes can sustain production throughputs. 7 Conclusions This paper presented a framework for oﬄine modeling of queries representing transactional use cases (TUCs).
338 added predominantly when all results contain all query terms (coverage is 1). Terms are mainly removed when there are no results containing all query terms (coverage is 0). Do term additions and term removals increase or decrease the coherence of result sets? The results of the modifications on the coherence of the result sets are shown in Table 5. Again, our results are in agreement with the union-based interpretation rather than the intersection-based interpretation: in 8 out of 9 (sub)data sets, additions are associated with significantly smaller average differences than removals.