University of Glasgow at TREC 2005: Experiments in Terabyte and Enterprise Tracks with Terrier

With our participation in TREC 2005, we continue experiments using Terrier, a modular and scalable Information Retrieval (IR) framework, in 4 tasks from the Terabyte and Enterprise tracks. In the Terabyte track, we investigate new Divergence From Randomness weighting models, and a novel query expansion approach that can take into account various Web evidence, namely content, title and anchor text. In addition, we test a new selective mechanism which determines the appropriateness of using query expansion on a per-query basis, using statistical information from a light-weight query performance predictor. In the Enterprise track, we investigate combining Web evidence with other information occurring in an Enterprise setting.