Matrix Factorization based on TensorFlow with both Explicit and Implicit information
Matrix Factorization based on TensorFlow with both Explicit and Implicit information
In exam.py, the parameter implicit control the explicit or implicit information
Case True:it will do the implicit information,and you will get the AUC score,which is 0.888 of ml-1m and 0.904 of ml-latest-small
Case False:it will do the explicit ratings,and you will get the MSE score,which is 0.844 of ml-1m and 0.811 of ml-latest-small