allRank is a framework for training learning-to-rank neural models based on PyTorch.
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Updated
Aug 6, 2024 - Python
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Pytorch implementation of CACM (WSDM'20)
SIGIR 2024 - Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset
An Offline Metric for the Debiasedness of Click Models
SIGIR 2023 - An Offline Metric for the Debiasedness of Click Models
FastAPI service that learns (index, query, doc) relevance scores from historical search clicks
Personal toolbox for unbiased learning-to-rank written in Jax.
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