By Allan Hanbury, Gabriella Kazai, Andreas Rauber, Norbert Fuhr
This ebook constitutes the complaints of the thirty seventh ecu 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 conscientiously reviewed and chosen from 305 submissions. the point of interest of the papers have been on following themes: aggregated seek and variety, class, cross-lingual and discourse, potency, assessment, occasion mining and summarisation, details extraction, recommender platforms, semantic and graph-based versions, sentiment and opinion, social media, particular seek projects, temporal types and contours, subject and record versions, consumer 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
Y. Nie When multiple resources are considered, DQE faces the challenge of properly weighting a resource, or computing a non-negative real number for a resource which indicates the degree of the contribution of that resource to the SRD performance. This challenge arises for two reasons. On one hand, the usefulness of a resource can greatly change depending on the queries. On the other hand, the weight of a resource is a key factor in selecting expansion term candidates: the expansion terms recommended by a resource with a great weight should be preferred since they are more likely to be related to one or several subtopics of the query, and their combination tends to cover a good part of all the subtopics.
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.
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. References 1. : Umass at trec 2010 web track: Term dependence, spam ﬁltering and quality bias. In: Proc. of TREC (2010) 2. : Eﬀective query formulation with multiple information sources. In: Proc. of WSDM, Washington, USA, pp. 443–452 (2012) 3. : Diversiﬁed query expansion using conceptnet. In: Proc. of CIKM, Burlingame, USA, pp.