An Effective Recommender Algorithm for Cold-Start Problem in Academic Social Networks

Table 5

One-way ANOVA tests for examining the difference of means between recommender algorithms.

(a) ANOVA test on precision value.

	Rnd	CL	CB	ECSN
Rnd	1
CL	0.03735	1
CB	0.04395*	0.00660	1
ECSN	0.07847*	0.04111*	0.03452*	1

(b) ANOVA test on recall value.

	Rnd	CL	CB	ECSN
Rnd	1
CL	0.4932	1
CB	0.05807	0.00875	1
ECSN	0.02330	0.02602	0.03477	1

(c) ANOVA test on fallout value.

	Rnd	CL	CB	ECSN
Rnd	1
CL	0.00346*	1
CB	0.00431*	0.0085	1
ECSN	0.00741*	0.00395*	0.00310	1

(d) ANOVA test on 𝐹1 value.

	Rnd	CL	CB	ECSN
Rnd	1
CL	0.04902*	1
CB	0.05765*	0.00863	1
ECSN	0.10444*	0.05542*	0.04679*	1

∗The mean difference is significant at the 0.05 level.