Skip to content

Tensorflow implementations of various Learning to Rank (LTR) algorithms.

Notifications You must be signed in to change notification settings

fly-adser/tensorflow-LTR

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 

Repository files navigation

tensorflow-LTR

Introduction

This project is copied from the github of Chenglongchen, and my purpose is to learning more details of LTR by the implemention for various models. Base on what has been finished, I will implement more models.

Models for LTR

  • point-wise

    • LR
    • DNN
  • pair-wise

    • RankNet
    • LambdaRank
  • list-wise

    • ListNet

Referances

[1].ICML2005, Microsoft. Learning to Rank using Gradient Descent
[2].Report2010, MSRA. From RankNet to LambdaRank to LambdaMART-An overview
[3].Fly Adser. LTR预估:从慕名而来到一探深浅
[4].Fly Adser. LTR预估:从一探深浅到实战演练

About

Tensorflow implementations of various Learning to Rank (LTR) algorithms.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 99.5%
  • Shell 0.5%