An onlinel learning to rank python codebase.

Last update: Jul 18, 2022

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Overview

OLTR

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

Counterfactual Online Learning to Rank

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

How do Online Learning to Rank Methods Adapt to Changes of Intent?

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

Owner

ielab

The Information Engineering Lab

GitHub Repository

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71 Jan 05, 2023

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215 Dec 17, 2022

Preprocessed Datasets for our Multimodal NER paper

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76 Dec 21, 2022

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283 Dec 26, 2022

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Very Deep Convolutional Networks for Large-Scale Image Recognition

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Neuron class provides LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neurons learned with Gradient descent or LeLevenberg–Marquardt algorithm

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