• 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 Y. Lan and J. Guo and Jun Xu and J. Xu and X. Cheng},
  journal={Proceedings of the 2017 ACM on Conference on Information and Knowledge Management},
  year={2017}
}

Liang Pang, Y. Lan, +3 authors X. Cheng

Published 2017

Computer Science

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

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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