By Allan Hanbury, Gabriella Kazai, Andreas Rauber, Norbert Fuhr
This ebook constitutes the lawsuits 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 awarded including three keynotes during this quantity have been conscientiously reviewed and chosen from 305 submissions. the focal point of the papers have been on following issues: aggregated seek and variety, category, cross-lingual and discourse, potency, evaluate, occasion mining and summarisation, info extraction, recommender structures, semantic and graph-based types, sentiment and opinion, social media, particular seek projects, temporal types and lines, subject and record versions, person habit and reproducible IR.
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Additional resources for Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings
Ernesto William De Luca, Alan Said, Fabio Crestani, and David Elsweiler Workshop Multimodal Retrieval in the Medical Domain (MRMD) 2015 . . . . . . . . . . . . . . . . . . . . . . . . . . Henning M¨ uller, Oscar Alfonso Jim´enez del Toro, Allan Hanbury, Georg Langs, and Antonio Foncubierta–Rodr´ıguez Second International Workshop on Gamiﬁcation for Information Retrieval (GamifIR’15) . . . . . . . . . . . . .
Nie features. We evaluated our approach on three topic sets, and using four representative resources. Our results demonstrate the advantage of our method over uniform weighting and non-query level resource weighting. In this work, we considered four external resources. We believe that other resources could also be eﬀective in our task, such as WordNet, anchor text collections and other resources, from which we can derive additional features for resource weighting. Another aspect where further improvement can be gained is the learning method: instead of using linear regression, other algorithms could be tested, such as those implemented in Weka.
Bouchoucha, X. -Y. Nie Table 2. All features computed in this work for automatically weighting resources. (Here, q denotes an original query, D denotes the set of top 50 retrieval results of q, and r denotes a resource that could be Wikipedia, ConceptNet, query logs, or feedback documents). , nodes that are connected to at least two edges) NumDiﬀRelations Number of diﬀerent relation types deﬁned between the adjacent nodes in the 1 graph of q * Query logs: PropQL Proportion of the terms of q that appear in the query logs 1 NumClicks Max, Min and average number of clicked URLs for q in all the sessions 3 PercentageClicks Percentage of shared clicked URLs between diﬀerent users who issued q 1 ClickEntropy Click entropy of the query q  1 NumSessions Total number of sessions with q 1 SessionLength Max, Min and average session duration (in seconds) with q 3 NumTermsReform Total number of diﬀerent terms added by users to reformulate q in all the sessions 1 ReformLength Max, Min and average number of terms added by users to reformulate q 3 in all the sessions Grand Total 39 document collection.
Advances in Information Retrieval: 37th European Conference on IR Research, ECIR 2015, Vienna, Austria, March 29 - April 2, 2015. Proceedings by Allan Hanbury, Gabriella Kazai, Andreas Rauber, Norbert Fuhr