A Movie Recommender System Based on User Profile and Artificial Bee Colony Optimization

Table 2

Notations used in this study.

Symbol	Description
	Random value in the interval [0, 1] for modifying a solution in ABC algorithm
	The Euclidean distance between users u and
F	The number of features in the database
	The calculated fitness value for solution vector in ABC algorithm
	The minimum value of feature f in database
	The maximum value of feature f in database
FN	The number of false negative samples
FP	The number of false positive samples
	Pearson correlation coefficient of feature x
N	The number of network users
	Normalized vector of feature f
	The probability of selecting a solution in the evaluation phase of ABC algorithm
	Average of the linear correlation between the attribute set f and the categories c
	Average of the linear correlation between the features of set f
SN	The population size in the ABC algorithm
TP	The number of true positive samples