Melbourne University at the 2006 Terabyte Track

Melbourne University 2005: Enterprise and Terabyte Tasks

This report describes the work done at The University of Melbourne for the TREC2005 Enterprise and Terabyte Tracks. In the Enterprise Track, we participated in the Discussion Task. We tried a number of different methods to make use of special features of mailing lists to improve retrieval effectiveness, and found the use of thread context to be promising. In the Terabyte Track, we continued our...

Dublin City University at the TREC 2006 Terabyte Track

For the 2006 Terabyte track in TREC, Dublin City University’s participation was focussed on the ad hoc search task. As per the pervious two years [7, 4], our experiments on the Terabyte track have concentrated on the evaluation of a sorted inverted index, the aim of which is to sort the postings within each posting list in such a way, that allows only a limited number of postings to be processe...

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...