Experiments with Terrier Blog, Entity, Million Query, Relevance Feedback, and Web tracks
BibTeX
@MISC{Mccreadie_experimentswith,
author = {Richard Mccreadie and Craig Macdonald and Iadh Ounis and Jie Peng and Rodrygo L. T. Santos},
title = {Experiments with Terrier Blog, Entity, Million Query, Relevance Feedback, and Web tracks},
year = {}
}
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Abstract
In TREC 2009, we extend our Voting Model for the faceted blog distillation, top stories identification, and related entity finding tasks. Moreover, we experiment with our novel xQuAD framework for search result diversification. Besides fostering our research in multiple directions, by participating in such a wide portfolio of tracks, we further develop the indexing and retrieval capabilities of our Terrier Information Retrieval platform, to effectively and efficiently cope with a new generation of large-scale test collections. 1.
