Personalized Analysis and Recommendation of Aesthetic Evaluation Index of Dance Music Based on Intelligent Algorithm

Table 1

Summary of original evaluation index system of music recommendation system users.

Second-order index	First-order index	Second-order index	First-order index
Content	Accuracy	Perceived ease of use	Convenience of use
	Familiarity		Feedback convenience
	Novelty	Perceived usefulness	Time-consuming
	Diversity		Efficiency
	Surprise degree		Preference influence
	Sufficiency	Confidence	Quality confidence
	Update of speed		Recommendation confidence
	Requirement considerations		Taste confidence
Functionality	Diagnostic ability of perceptual information		Dependence on confidence
	Preference correction	Perceptual experience	Caring for each other
	Explanatory power		Interactivity
	Communication ability		Human touch
Page design	Being clear and understandable	Potential risk	Risk
	Adequacy of repertoire
	Information richness
	Style consistency
	Consistency of browsing habits