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Research on interactive information retrieval based on deep neural networks.

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About Neural_IIR

This is the website of the project: A Novel Interactive Information Retrieval System Using Deep Neural Network supported by the Japan Society for the Promotion of Science (JSPS), 2017-04 -- 2019-03. PI: Hai-Tao Yu.

Publications

2019

Hai-Tao Yu, Adam Jatowt, Roi Blanco, Joemon Jose and Zhou Ke. A Rank-biased Neural Network Model for Click Modeling. Proceedings of the 2019 Conference on Human Information Interaction & Retrieval, pp. 183-191, 2019.

Hai-Tao Yu, Adam Jatowt, Hideo Joho, Joemon M. Jose, Xiao Yang, Long Chen. WassRank: Listwise Document Ranking Using Optimal Transport Theory. Proceedings of the 12th WSDM, pp. 24-32, 2019. (CORE-rank: A*, Full paper acceptance rate: 16%≈84/511 submissions).

2018

Hai-Tao Yu, Jatowt Adam, Roi Blanco, Hideo Joho, Joemon Jose, Long Chen, and Fajie Yuan. Revisiting the Cluster-based Paradigm for Implicit Search Result Diversification. Information Processing and Management, 54(4):507-528, 2018. (Impact Factor: 3.444, CORE-Rank: A)

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PT-Ranking(Learning to Rank in PyTorch)

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Research on interactive information retrieval based on deep neural networks.

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