FPAN uses gating modules to adapt the user embedding and item-level feedback, according to attribute-level feedback. This project looks to improve the offline and online training of FPAN. It does this by conducting a survey into the effectiveness of GraphSAGE convolutions. And, by introducing a function to calculate user & item bias