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
Code for my data science accelerator project
An Offline Metric for the Debiasedness of Click Models
SIGIR 2023 - An Offline Metric for the Debiasedness of Click Models
Personal toolbox for unbiased learning-to-rank written in Jax.
Frontend for comic book semantic search engine. Renders explanations along with search results
基于Elasticsearch构建智能化搜索应用
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