University of Glasgow at TREC2004: Experiments in Web, Robust and Terabyte tracks with Terrier

[摘要] With our participation in TREC2004, we test Terrier, a modular and scalable Information Retrieval frame work, in three tracks. For the mixed query task of the Web track, we employ a decision mechanism for selecting appropriate retrieval approaches on a perquery basis. For the robust track, in order to cope with the poorly performing queries, we use two preretrieval 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 tech niques, 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

[学科分类] 社会科学、人文和艺术（综合）