MF_Model

本仓库包含基于矩阵分解的推荐算法，主要为传统矩阵分解：FunkSVD，UBV。以及异质评分跨域矩阵分解：TMF，TCF，ITCF。

Funk_SVD

矩阵分解算法

详情见README.pdf

UBV

矩阵三因子分解

详情见README.pdf

TMF

参考文献: Mixed factorization for collaborative recommendation with heterogeneous explicit feedbacks

TCF

参考文献: Transfer Learning to Predict Missing Ratings via Heterogeneous User Feedbacks

ITCF

参考文献: Interaction-Rich Transfer Learning for Collaborative Filtering with Heterogeneous User Feedback