The fact: Taming latent factor models for explainability with factorization trees

Y Tao, Y Jia, N Wang, H Wang - … of the 42nd international ACM SIGIR …, 2019 - dl.acm.org
Latent factor models have achieved great success in personalized recommendations, but
they are also notoriously difficult to explain. In this work, we integrate regression trees to …
被引用次数：84 相关文章

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Y Tao, Y Jia, N Wang, H Wang - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Latent factor models have achieved great success in personalized recommendations, but
they are also notoriously difficult to explain. In this work, we integrate regression trees to …

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Y Tao, Y Jia, N Wang, H Wang - arXiv preprint arXiv:1906.02037, 2019 - arxiv.org
Latent factor models have achieved great success in personalized recommendations, but
they are also notoriously difficult to explain. In this work, we integrate regression trees to …

The FacT: Taming Latent Factor Models for Explainability with Factorization Trees

Y Tao, Y Jia, N Wang, H Wang - … of the 42nd International ACM SIGIR …, 2019 - par.nsf.gov
Latent factor models have achieved great success in personalized recommendations, but
they are also notoriously difficult to explain. In this work, we integrate regression trees to …