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LTR_Cascade

This repository is home to a reference implementation of the cascade ranking model in the SIGIR '17 paper "Efficient Cost-Aware Cascade Ranking for Multi-Stage Retrieval".

If you use this package in your work, please cite the following paper:

@inproceedings{chen_efficient_2017, author = {Chen, Ruey-Cheng and Gallagher, Luke and Blanco, Roi and Culpepper, J. Shane}, title = {Efficient Cost-Aware Cascade Ranking in Multi-Stage Retrieval}, booktitle = {Proceedings of {SIGIR} '17}, year = {2017}, pages = {445--454}, publisher = {ACM} } 

Get Started

To compile our feature processing binaries:

./init-script/build.sh 

This will also install/compile all the external dependencies such as Indri and WANDbl. Programs and header files will be installed at external/local/bin.

To install python dependencies:

pip install -r python/requirements.txt 

Other bash scripts and Makefiles under experiments should work out of the box.

Ranking Experiments

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Code repo for the SIGIR '17 paper "Efficient Cost-Aware Cascade Ranking for Multi-Stage Retrieval"

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