Research Article

Improving POI Recommendation via Dynamic Tensor Completion

Table 3

Result comparison in New York.

Matrix factorizationTensor factorization
MetricsMFPMFFBMCCDTDTA-FBMCTAD-FMPCs-PridoPrido

0.00160.00600.03100.07670.09210.07470.12300.10220.1310
0.01970.02830.10630.22210.26420.22980.29960.24540.3201
0.04440.05710.17000.32490.38630.33970.41360.37680.4234
0.08220.11600.26990.48290.53570.48010.56150.53870.5911
0.27440.28430.48930.71950.75520.71300.76990.74880.7824
0.50530.51270.72800.88870.90400.88120.89650.88760.9010