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

Table 5

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

Algorithm		HD	Novelty	Coverage
UCF	0.0732	0.8876	453.55	0.2720
UOS	0.0733	0.7638	546.90	0.1666
NBI	0.07524	0.5908	677.00	0.0942
SNBI	0.0794	0.6057	657.37	0.1441
IPF	0.0783	0.6607	636.08	0.2084
STeuP	0.095	0.6169	589.88	0.2358