Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation

Table 4

Comparison of different recommendation models on MovieLens data set. For UOS, ; for SNBI, ; for MS-IPF, , , and ; for STeuP, , , , and . The length of recommendation list is .

Algorithm		HD	Novelty	Coverage
UCF	0.0761	0.9399	224.63	0.2854
UOS	0.0839	0.8735	268.10	0.1691
NBI	0.1081	0.7724	319.62	0.0873
SNBI	0.1144	0.8382	287.57	0.1353
IPF	0.1649	0.8010	281.11	0.1667
STeuP	0.2147	0.7647	275.18	0.1285