By Allan Hanbury, Gabriella Kazai, Andreas Rauber, Norbert Fuhr
This e-book constitutes the lawsuits of the thirty seventh eu convention on IR study, 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 focal point of the papers have been on following themes: aggregated seek and variety, type, cross-lingual and discourse, potency, review, occasion mining and summarisation, details extraction, recommender structures, semantic and graph-based versions, sentiment and opinion, social media, particular seek initiatives, temporal types and lines, subject and rfile versions, person 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
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.
Percentage of bundles Number of documents 3 2 1 20% 10% 0% 0 1 GW Image Video News Social Blog Wiki Fig. 2. Average vertical diversity QA 2 3 4 5 6 Number of verticals in bundle 7 Fig. 3. Number of verticals in bundles Vertical Composition. One of our main research objectives was to analyse the type of documents user-generated bundles contain. Figure 2 shows the average vertical composition of a bundle. 577), originating from 3 different verticals (mean = 30% 20% GW Image Video News Blog QA Wiki 10% 0% Percentage of bundles with 3 verticals H.
Two sets of expansion terms selected for the query “avp”, from Wikipedia and feedback documents, respectively volleyball, enterprise, alien, violence, avon, film, beach, pennsylvania, wilkes-barre, casting. Feeback documents news, price, product, planet, movie, game, world, version, alien, download. Wikipedia From Table 1, we clearly observe that the expansion terms from Wikipedia are more related to the query3 than the ones selected from feedback documents. This means that Wikipedia is a good resource for the query “avp”, while the feedback documents seem less appropriate for the same query.
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