Overview of the TREC 2014 Web track

K Collins-Thompson, C Macdonald, P Bennett, F Diaz, E Voorhees
TREC 2014
The goal of the TREC Web track over the past few years has been to explore and evaluate innovative retrieval approaches over large-scale subsets of the Web – currently using ClueWeb12, on the order of one billion pages. For TREC 2014, the sixth year of the Web track, we implemented the follow- ing significant updates compared to 2013. First, the risk-sensitive retrieval task was modified to assess the ability of systems to adaptively perform risk-sensitive retrieval against multiple baselines, including an optional self- provided baseline. In general, the risk-sensitive task explores the tradeoffs that systems can achieve between effectiveness (overall gains across queries) and robustness (minimizing the probability of significant failure, relative to a particular provided baseline). Second, we added query performance pre- diction as an optional aspect of the risk-sensitive task. The Adhoc task continued as for TREC 2013, evaluated using both adhoc and diversity rel- evance criteria.

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@inproceedings{trecw2014:overview, year = {2014}, title = {{TREC} 2014 Web Track Overview}, publisher = {NIST}, note = {Special Publication}, booktitle = {The 23rd Text Retrieval Conference Proceedings (TREC 2014)}, author = {Kevyn Collins-Thompson and Craig Macdonald and Paul Bennett and Fernando Diaz and Ellen Voorhees} }