..., it is essential to balance the accuracy of personalized recommendations with privacy protection. Accordingly, this paper aims to propose a neural graph collaborative filtering personalized recommendation framework based on federated transfer learning (FTL-NGCF), which achieves high-quality personalized...

... for English text. Collaborative filtering (Chien and George, 1999 ; Goldberg et al., 1992 ; Herlocker et al., 2004 ; Pavlov and Pennock, 2003 ; Resnick et al., 1994 ; Rich, 1979 ; Sarwar et al., 2001) uses user–user similarity and suggests items that were highly rated...