https://github.com/chenglongchen/tensorflow-ltr
Tensorflow implementations of various Learning to Rank (LTR) algorithms.
https://github.com/chenglongchen/tensorflow-ltr
lambdarank learning-to-rank ltr ranking-algorithm ranknet
Last synced: about 1 month ago
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Tensorflow implementations of various Learning to Rank (LTR) algorithms.
- Host: GitHub
- URL: https://github.com/chenglongchen/tensorflow-ltr
- Owner: ChenglongChen
- Created: 2018-06-11T17:36:26.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2018-06-14T15:27:42.000Z (about 7 years ago)
- Last Synced: 2025-03-31T19:44:10.828Z (3 months ago)
- Topics: lambdarank, learning-to-rank, ltr, ranking-algorithm, ranknet
- Language: Python
- Homepage:
- Size: 3.65 MB
- Stars: 230
- Watchers: 14
- Forks: 76
- Open Issues: 5
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Metadata Files:
- Readme: README.md
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README
# tensorflow-LTR
Ongoing projects for implementing various Learning to Rank (LTR) models.
- pointwise
- classification
- DNN
- LR
- pairwise
- RankNet
- LambdaRank
- listwise
- ListNet (TODO)
# References
[1] Hang Li, *A Short Introduction to Learning to Rank*
[2] Christopher J.C. Burges, *From RankNet to LambdaRank to LambdaMART: An Overview*
# Acknowledgments
This project gets inspirations from the following projects:
- [learning-rank-public](https://github.com/andreweskeclarke/learning-rank-public)
- [learning2rank](https://github.com/shiba24/learning2rank)