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2004

University of Glasgow at TREC 2004: Experiments in Web, Robust, and Terabyte Tracks with Terrier

9 years 11 months ago
University of Glasgow at TREC 2004: Experiments in Web, Robust, and Terabyte Tracks with Terrier
With our participation in TREC2004, we test Terrier, a modular and scalable Information Retrieval framework, in three tracks. For the mixed query task of the Web track, we employ a decision mechanism for selecting appropriate retrieval approaches on a per-query basis. For the robust track, in order to cope with the poorlyperforming queries, we use two pre-retrieval performance predictors and a weighting function recommender mechanism. We also test a new training approach for the automatic tuning of the term frequency normalisation parameters. In the Terabyte track, we employ a distributed version of Terrier and test the effectiveness of techniques, such as using the anchor text, query expansion and selecting an optimal weighting model for each query. Overall, in all three tracks we participated, Terrier and the tested Divergence From Randomness models were shown to be stable and effective.
Vassilis Plachouras, Ben He, Iadh Ounis
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where TREC
Authors Vassilis Plachouras, Ben He, Iadh Ounis
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