• DOI:10.1145/3132847.3132914
Corpus ID: 18142

DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval

@article{Pang2017DeepRankAN,
  title={DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval},
  author={Liang Pang and Yanyan Lan and Jiafeng Guo and Jun Xu and Jingfang Xu and Xueqi Cheng},
  journal={ArXiv},
  year={2017},
  volume={abs/1710.05649}
}

Liang Pang, Yanyan Lan, +3 authors Xueqi Cheng

Published in CIKM '17 2017

Computer Science

ArXiv

This paper concerns a deep learning approach to relevance ranking in information retrieval (IR. [...] Key Method Firstly, a detection strategy is designed to extract the relevant contexts. Then, a measure network is applied to determine the local relevances by utilizing a convolutional neural network (CNN) or two-dimensional gated recurrent units (2D-GRU). Finally, an aggregation network with sequential integration and term gating mechanism is used to produce a global relevance score. DeepRank well captures…Expand Abstract

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