Learning to Rank

Things on this page are fragmentary and immature notes/thoughts of the author. Please read with your own judgement!

https://www.kaggle.com/c/home-credit-default-risk/discussion/61613

https://studylib.net/doc/18339870/yetirank--everybody-lies

http://proceedings.mlr.press/v14/gulin11a/gulin11a.pdf

A quick guide to Learning to Rank models

Tutorials¶

https://github.com/sophwats/learning-to-rank

Neural Network Based Approaches¶

PT-RANKING: A BENCHMARKING PLATFORM FOR NEURAL LEARNING-TO-RANK

Learning to Rank with Deep Neural Networks

AN ATTENTION-BASED DEEP NET FOR LEARNING TO RANK

Ranking with Deep Neural Networks

Learning to Rank using Gradient Descent

The LambdaLoss Framework for Ranking Metric Optimization

Pairwise Learning to Rank by Neural Networks Revisited: Reconstruction, Theoretical Analysis and Practical Performance

A cross-benchmark comparison of 87 learning to rank methods

Fast Attention-based Learning-To-Rank Model for Structured Map Search

Neural Attention for Learning to Rank Questions in Community Question Answering

https://arxiv.org/pdf/1702.06106.pdf#:~:text=For learning to rank%2C neural,search results as the input.

Learning to Rank in LightGBM¶

https://mlexplained.com/2019/05/27/learning-to-rank-explained-with-code/

https://github.com/microsoft/LightGBM/tree/master/examples/xendcg

https://github.com/microsoft/LightGBM/tree/master/examples/lambdarank

Learning to Rank in XGBoost¶

Use the objective rank:pairwise

https://www.jianshu.com/p/9caef967ec0a

https://tech.olx.com/ranking-ads-with-machine-learning-ee03d7734bf4

Benchmark¶

Domain: Learning to Rank

References¶

• Data for Learning to Rank

• From RankNet to LambdaRank to LambdaMART: An Overview

• What is the intuitive explanation of Learning to Rank and algorithms like RankNet, LambdaRank and LambdaMART? In what types of data/variables can these techniques be used? What are their strengths and limitations?

• https://mlexplained.com/2019/05/27/learning-to-rank-explained-with-code/

• https://medium.com/nikhilbd/intuitive-explanation-of-learning-to-rank-and-ranknet-lambdarank-and-lambdamart-fe1e17fac418

• Learning to rank

• https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/MSR-TR-2010-82.pdf

• http://times.cs.uiuc.edu/course/598f14/l2r.pdf