# tensorflow-LTR

**Repository Path**: softthinker/tensorflow-LTR

## Basic Information

- **Project Name**: tensorflow-LTR
- **Description**: Tensorflow implementations of various Learning to Rank (LTR) algorithms.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-16
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## 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)