weberrr / PE-LTR Public

Notifications You must be signed in to change notification settings
Fork 13
Star 48

Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".

48 stars 13 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
PE-LTR.py		PE-LTR.py
README.md		README.md

Repository files navigation

PE-LTR

Demo implementation for PE-LTR.

paper: "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation". RecSys, 2019, Alibaba

link: http://www.yongfeng.me/attach/lin-recsys2019.pdf

ref: https://github.com/jackielinxiao/PE-LTR

About

Demo implementation for "A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation".

asm pe-ltr pareto-efficiency

Report repository

Releases

No releases published

Packages

No packages published

Languages

Python 100.0%