JSSST 2022 https://jssst2022.wordpress.com/ における発表スライドです。
論文
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? (SDM 2022)
arXiv: https://arxiv.org/abs/2105.12353
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?
1. 1 KYOTO UNIVERSITY
KYOTO UNIVERSITY
Private Recommender Systems: How Can Users Build Their
Own Fair Recommender Systems without Log Data?
佐藤竜馬
論文: https://arxiv.org/abs/2105.12353
コード: https://github.com/joisino/private-recsys