Analysis Model of Human Resource Cross-Media Fusion Based on Deep Neural Network

Table 2

Selection principles of evaluation dimensions.

Evaluation dimensions	Selection principle
Importance	Purpose; comprehensiveness; representativeness
Sensitivity H	Sensitivity; distinction
Relevance R	Independence; relevance
Acquisition difficulty E	Cost; operability

The four evaluation dimensions are importance, represented by . The degree of differentiation is denoted by H; relevance, denoted by R; and difficulty of obtaining, denoted by E. These four evaluation factors highly summarize the above principles, among which importance covers the principles of purpose, comprehensiveness, and representativeness, distinction covers the principles of sensitivity and distinction, relevance covers the principles of relevance, and difficulty of obtaining indicators covers the principles of cost and operability.