By Allan Hanbury, Gabriella Kazai, Andreas Rauber, Norbert Fuhr
This ebook constitutes the complaints of the thirty seventh eu convention on IR examine, ECIR 2015, held in Vienna, Austria, in March/April 2015. The forty four complete papers, forty-one poster papers and seven demonstrations offered including three keynotes during this quantity have been rigorously reviewed and chosen from 305 submissions. the point of interest of the papers have been on following themes: aggregated seek and variety, category, cross-lingual and discourse, potency, assessment, occasion mining and summarisation, details extraction, recommender structures, semantic and graph-based types, sentiment and opinion, social media, particular seek initiatives, temporal versions and contours, subject and rfile types, person habit and reproducible IR.
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Additional info for Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings
A tutorial on support vector regression. Statistics and Computing 14(3), 199–222 (2004) 18. : Beyond independent relevance: Methods and metrics for subtopic retrieval. In: Proc. of SIGIR, NY, USA, pp. 10–17 (2003) Exploring Composite Retrieval from the Users’ Perspective Horat, iu Bota1 , Ke Zhou2, and Joemon M. com Abstract Aggregating results from heterogeneous sources and presenting them in a blended interface – aggregated search – has become standard practice for most commercial Web search engines.
1 Task of Resource Weighting In the context of DQE based SRD with multiple resources, given a query and a set of resources as input, the task of resource weighting outputs a non-negative Towards Query Level Resource Weighting for DQE 5 and normalized real number for each resource that is proportional to the degree to which that resource can help to diversify the search results for that query. Hereafter, we will use q to denote the query, r a resource, R the set of resources under consideration, and w(q, r) the weight of resource r for query q.
This indicates that composition of results is beneficial in exploratory tasks, and motivates our efforts to investigate more elaborate aggregation techniques, such as composite retrieval. Although composite retrieval is similar to aggregated search, user behaviour in a composite setting has not been studied. Our aim is to investigate user behaviour in a composition scenario and analyse the contents and assessments of manually generated bundles to get an insight into user expectations from a composite search system.