Online learning to rank python codebase.

The code related to Pairwise Differentiable Gradient Descent (ranker/PDGDLinearRanker.py) is copied from https://github.com/HarrieO/OnlineLearningToRank

To reproduce results of our paper "Counterfactual Online Learning to Rank" published at ECIR 2020, run experiments/run_ECIR_COLTR.py.

More information about the paper, please visit our website: http://ielab.io/COLTR

The datasets and code relate to our paper "How do Online Learning to Rank Methods Adapt to Changes of Intent?" published at SIGIR 2021, go to intent_change/ folder.

More information about the paper, please visit our website: http://ielab.io/intent_change