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Ranking Model Reference
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DNN
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Description
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The deep neural network model for learning to rank.

This class implements a deep neural network (DNN) based ranking model. It's essientially a multi-layer perceptron network.

Hyper Parameters
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Linear
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Description
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A linear model for learning to rank.

This class implements a linear ranking model. It's essientially a logistic regression model.

Hyper Parameters
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DLCM
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Description
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The Deep Listwise Context Model for learning to rank.

This class implements the Deep Listwise Context Model (DLCM) for ranking.

See the following paper for more information.

* Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft. 2018. Learning a Deep Listwise Context Model for Ranking Refinement. In Proceedings of SIGIR '18

Hyper Parameters
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GSF
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Description
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The Groupwise Scoring Function (with no approaximation) for learning to rank.

This class implements The Groupwise Scoring Function (GSF) based on multi-layer perceptron networks.

See the following paper for more information.

* Qingyao Ai, Xuanhui Wang, Sebastian Bruch, Nadav Golbandi, Michael Bendersky, Marc Najork. 2019. Learning Groupwise Scoring Functions Using Deep Neural Networks. In Proceedings of ICTIR '19

Hyper Parameters
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SetRank
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Description
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The SetRank model for learning to rank.

This class implements the SetRank model for ranking.

See the following paper for more information.

* Liang Pang, Jun Xu, Qingyao Ai, Yanyan Lan, Xueqi Cheng, Jirong Wen. 2020. SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval. In Proceedings of SIGIR '20

Hyper Parameters
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