TEM: Tree-enhanced Embedding Model for Explainable Recommendation.

This is an implementation of TEM ,a recommender system model, on Pytorch.

Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie and Tat-Seng Chua (2018). TEM: Tree-enhanced Embedding Model for Explainable Recommendation. In WWW'18, Lyon, France, April 23–27, 2018.