Search Results for author: Jun-Ki Min

Found 1 papers, 1 papers with code

Microsoft Recommenders: Tools to Accelerate Developing Recommender Systems

1 code implementation27 Aug 2020 Scott Graham, Jun-Ki Min, Tao Wu

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.

Multi-Domain Recommender Systems

Cannot find the paper you are looking for? You can Submit a new open access paper.