In this paper, we report our experiments on the Web Track TREC-2003. We submitted five runs for the topic distillation task. Our goal was to evaluate the standard language modeli...
In this paper, we propose a Bayesian learning approach to promoting diversity for information retrieval in biomedicine and a re-ranking model to improve retrieval performance in t...
In TREC 2007, we participate in four tasks of the Blog and Enterprise tracks. We continue experiments using Terrier1 [14], our modular and scalable Information Retrieval (IR) plat...
David Hannah, Craig Macdonald, Jie Peng, Ben He, I...
Background: The evaluation of information retrieval techniques has traditionally relied on human judges to determine which documents are relevant to a query and which are not. Thi...
This paper evaluates the potential impact of explicit phrases on retrieval quality through a case study with the TREC Terabyte benchmark. It compares the performance of user- and s...