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

Table 6

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

Algorithm		HD	Novelty	Coverage
UCF	0.0633	0.7966	335.17	0.1185
UOS	0.0490	0.7785	337.87	0.1837
NBI	0.0706	0.4881	468.30	0.0440
SNBI	0.0725	0.4999	463.43	0.0542
IPF	0.0785	0.5024	462.35	0.0447
STeuP	0.0865	0.5269	394.51	0.1341