arXiv:2008.13528
공식 코드 · Papers with Code
Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems
원문 초록
The purpose of this work is to highlight the content of the Microsoft Recommenders repository and show how it can be used to reduce the time involved in developing recommender systems. The open source repository provides python utilities to simplify common recommender-related data science work as well as example Jupyter notebooks that demonstrate use of the algorithms and tools under various environments.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation
One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation
Decentralized Multi-Target Cross-Domain Recommendation for Multi-Organization Collaborations
Dive into Deep Learning
Outer Product-based Neural Collaborative Filtering
Everyone's a Winner! On Hyperparameter Tuning of Recommendation Models
토론
이 논문과 연결된 포럼 글이 아직 없습니다.