arXiv:2209.12766 공식 코드 · Papers with Code

EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems

Mengli Cheng, Yue Gao, Guoqiang Liu, Hongsheng Jin, Xiaowen Zhang

제출 2022-09-26

원문 초록

We present EasyRec, an easy-to-use, extendable and efficient recommendation framework for building industrial recommendation systems. Our EasyRec framework is superior in the following aspects: first, EasyRec adopts a modular and pluggable design pattern to reduce the efforts to build custom models; second, EasyRec implements hyper-parameter optimization and feature selection algorithms to improve model performance automatically; third, EasyRec applies online learning to fast adapt to the ever-changing data distribution. The code is released: https://github.com/alibaba/EasyRec.

함께 살펴볼 논문

공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.

토론

이 논문과 연결된 포럼 글이 아직 없습니다.