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ICTNET at TREC 2017 Common Core Track

Xu Chang, Liying Jiao, Jinlong Liu, Weijian Zhu, Yuanhai Xue, Li Zha, Yue Liu, Xueqi Cheng
2017 Text Retrieval Conference  
We would like to thank all organizers and assessors of TREC and NIST.  ...  INTRODUCTION The common core track is a new track for TREC 2017.  ...  core track.  ... 
dblp:conf/trec/ChangJLZXZLC17 fatcat:ptxywww34jbkxijezc66bpztna

TREC 2017 Common Core Track Overview

James Allan, Donna Harman, Evangelos Kanoulas, Dan Li, Christophe Van Gysel, Ellen M. Voorhees
2017 Text Retrieval Conference  
in alphabetical order. 1 Participants have the opportunity to train their systems over the TREC 2004 Robust track (which, to some extend, alters the participants task to a routing task, i.e. fixed queries  ...  For the Common Core track, we used k = 10 and X = 100.  ...  Introduction The primary goal of the TREC Common Core track is three-fold: (a) bring the information retrieval community back into a traditional ad-hoc search task; (b) attract a diverse set of participating  ... 
dblp:conf/trec/AllanHKLGV17 fatcat:sj7iwu27wbfwnm2wbenlgbxmfm

Overview of the TREC 2019 deep learning track [article]

Nick Craswell, Bhaskar Mitra, Emine Yilmaz, Daniel Campos, Ellen M. Voorhees
2020 arXiv   pre-print
The Deep Learning Track is a new track for TREC 2019, with the goal of studying ad hoc ranking in a large data regime.  ...  It is the first track with large human-labeled training sets, introducing two sets corresponding to two tasks, each with rigorous TREC-style blind evaluation and reusable test sets.  ...  The Common Core track in TRECs 2017 and 2018 used a method based on multi-armed bandit optimization techniques, another dynamic method, with the similar goal of building high-quality, reusable, ad hoc  ... 
arXiv:2003.07820v2 fatcat:a4wghnw6fzbmfe4m24lpgpuwhy