@inproceedings{Leonard2011a,
 title = {{{UCD SIFT}} in the {{TREC}} 2010 {{Web Track}}},
 booktitle = {Proceedings of the Nineteenth Text {{REtrieval}} Conference ({{TREC}} 2010)},
 author = {Leonard, David and Zhang, Lusheng and Lillis, David and Toolan, Fergus and Collier, Rem W. and Dunnion, John},
 editor = {Voorhees, Ellen and Buckland, Lori},
 year = {2011},
 address = {Gaithersburg, MD},
 url = {https://trec.nist.gov/pubs/trec19/t19.proceedings-tracks.html#web},
 abstract = {The SIFT (Segmented Information Fusion Techniques) group in UCD is dedicated to researching Data Fusion in Information Retrieval. This area of research involves the merging ofmultiple sets of results into a single result set that is presented to the user. As a means of both evaluating the effectiveness of this work and comparing it against other retrieval systems, the group entered Category B of the TREC 2010 Web Track. This involved the use of freely-available Information Retrieval tools to provide inputs to the data fusion process. This paper outlines the strategies of the 3 candidate fusion algorithms entered in the ad-hoc task, discusses the methodology employed for the runs and presents a preliminary analysis of the provisional results issued by TREC.},
}