Research Article

A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks

Table 4

HR@N and NDCG@N comparisons for different top-N values.

ModelsYelp
HRNDCG
N = 5N = 10N = 15N = 5N = 10N = 15

BPR0.17130.26320.32890.12430.15750.1773
FM0.18810.28350.34630.13590.17200.1895
TrustSVD0.19060.29150.36930.13850.17380.1983
GC-MC0.19320.29370.36520.14200.17400.1922
PinSage0.20990.30650.38730.15360.18680.2130
DiffNet0.22760.34770.42320.16790.21210.2331
HA-RS0.23570.35570.44040.18030.21850.2451