Research Article

Improving POI Recommendation via Dynamic Tensor Completion

Table 4

Result comparison in Los Angeles.

Matrix factorizationTensor factorization
MetricsMFPMFFBMCCDTDTA-FBMCTAD-FMPCs-PridoPrido

0.04330.00570.04770.06770.09640.09280.15190.12520.1672
0.11420.03360.13510.22700.26950.25800.32500.27420.3425
0.17340.06660.19920.32160.39570.36100.43820.39230.4594
0.28630.13050.30230.49200.54770.49740.57560.55230.6092
0.44860.29490.50880.72420.75880.72620.77530.75980.7973
0.58340.53890.74120.89200.90270.88390.89710.88560.8993