Dublin City University at the TREC 2006 Terabyte Track

Dublin City University at the TREC 2005 Terabyte Track

For the 2005 Terabyte track in TREC Dublin City University participated in all three tasks: Adhoc, Efficiency and Named Page Finding. Our runs for TREC in all tasks were primarily focussed on the application of “Top Subset Retrieval” to the Terabyte Track. This retrieval utilises different types of sorted inverted indices so that less documents are processed in order to reduce query times, and ...

Experiments in Terabyte Searching, Genomic Retrieval and Novelty Detection for TREC 2004

In TREC2004, Dublin City University took part in three tracks, Terabyte (in collaboration with University College Dublin), Genomic and Novelty. In this paper we will discuss each track separately and present separate conclusions from this work. In addition, we present a general description of a text retrieval engine that we have developed in the last year to support our experiments into large s...

RMIT University at TREC 2006: Terabyte Track

Peking University at the TREC 2006 Terabyte Track

This paper details the experiments carried out at TREC 2006 Terabyte Track using Indri Search Engine. There were three tasks in the Terabyte track of TREC 2006, i.e. efficiency task, ad hoc task and named page finding task. We participated in two tasks, and submitted 5 runs for ad hoc task and 3 runs for named page task respectively. In ad hoc task, we looked at the importance of term proximity...

The University of Amsterdam at the TREC 2006 Terabyte Track

As part of the TREC 2006 Terabyte track, we conducted a range of experiments investigating the effects of larger test collections for both adhoc and known-item topics. In this paper, we document our official submissions to the TREC 2006 Terabyte track and conduct a number of more extensive experiments. First, we look at the amount of smoothing required for largescale collections. Second, we inv...