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This booklet constitutes the lawsuits of the thirty seventh eu convention on IR learn, ECIR 2015, held in Vienna, Austria, in March/April 2015. The forty four complete papers, forty-one poster papers and seven demonstrations awarded 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 issues: aggregated seek and variety, category, cross-lingual and discourse, potency, evaluate, occasion mining and summarisation, details extraction, recommender structures, semantic and graph-based types, sentiment and opinion, social media, particular seek initiatives, temporal types and lines, subject and rfile versions, consumer habit and reproducible IR.
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Extra info for Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings
In existing studies, however, the weight of a resource, or the degree of the contribution of that resource to SRD, is largely ignored. In this work, we present a query level resource weighting method based on a set of features which are integrated into a regression model. Accordingly, we develop an SRD system which generates for a resource a number of expansion candidates that is proportional to the weight of that resource. We thoroughly evaluate our approach on TREC 2009, 2010 and 2011 Web tracks, and show that: 1) our system outperforms the existing methods without resource weighting; and 2) query level resource weighting is superior to the non-query level resource weighting.
We used 40 different topics, collected from various aggregated search collections [7,22]. Topics were assigned randomly to participants, the only constraint being that each topic needed to be assigned to exactly 4 different users. Overall, each of the 40 participants performed 4 separate tasks, for a total of 160 bundle building tasks2 . Task Design. g. living in India). g. uk/~horatiu 16 H. Bota, K. M. Jose Fig. 1. Web based interface used by our participants to build bundles choice of aspects (or subtopics) to focus on was unrestricted, however the subtopics were required to be distinct.
830 834 838 841 845 849 Towards Query Level Resource Weighting for Diversified Query Expansion Arbi Bouchoucha, Xiaohua Liu, and Jian-Yun Nie Dept. ca Abstract. Diversifying query expansion that leverages multiple resources has demonstrated promising results in the task of search result diversiﬁcation (SRD) on several benchmark datasets. In existing studies, however, the weight of a resource, or the degree of the contribution of that resource to SRD, is largely ignored.