Download Advances in Information Retrieval: 37th European Conference by Allan Hanbury, Gabriella Kazai, Andreas Rauber, Norbert Fuhr PDF

By Allan Hanbury, Gabriella Kazai, Andreas Rauber, Norbert Fuhr

This publication constitutes the court cases 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 provided 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 subject matters: aggregated seek and variety, type, cross-lingual and discourse, potency, assessment, occasion mining and summarisation, info extraction, recommender platforms, semantic and graph-based types, sentiment and opinion, social media, particular seek initiatives, temporal types and lines, 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

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In: Proc. of WWW, NY, USA, pp. 581–590 (2007) 12. : Combining implicit and explicit topic representations for result diversification. In: Proc. of SIGIR, NY, USA, pp. 851–860 (2012) 13. : Compact aspect embedding for diversified query expansions. In: Proc. of AAAI, pp. 115–121 (2014) 14. : Query performance prediction for aspect weighting in search result diversification. In: Proc. of CIKM, NY, USA, pp. 871–874 (2014) 15. : The pagerank citation ranking: Bringing order to the web. Technical report (1999) 16.

Bundle Characteristics. After generating the bundles, participants were required to rate them on five different criteria, using a five point scale (very, fairly, somewhat, slightly, not at all). Our choice of evaluation criteria was inspired by previous work on evaluating search results in context[10,3], where it has been shown that certain aspects of search results relevance are difficult or impossible to judge in isolation. In line with previous work, and given that prior work on composite retrieval [4] has already proposed basic evaluation metrics for bundle relevance, cohesion and diversity, we focus our evaluation of bundle characteristics on the five criteria described below: Relevance Diversity Cohesion Freshness Overall – – – – – Are the documents in your bundle relevant to the topic?

All the other features will have 0 values. Note that resource weights are independently learnt by our proposed regression model. However, in practice, the weights are not independent4 . To tackle this problem, we perform a normalization of the learnt weights (similar to Eq. t. one query equals to 1. Resource Nonspecific Features. For the features that are common to all resources, we use the number of different candidate expansion terms suggested by each resource (DiffExpanTerms), since we believe that the more a resource suggests different expansion terms, the more it is likely to cover the different aspects of the query.

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