Research Article

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

Table 3

The six recommendation models for comparison in this paper. The mark under PN or T indicates whether the model distinguishes opinions as positive and negative opinions and/or considers temporal influence.

Method Description PN T

UCFUser-based CF [16]
UOSUser-based CF combining the user opinion spreading process [12]
NBINetwork-based inference algorithm on binary data [17]
SNBINBI with different weights for positive and negative opinions [13]
IPFPersonalized random walk on STG [4]
STeuPThe proposed model in Section 3