Digital content resource value evaluation method based on GCA-RFR model
A technology for digital content and value evaluation, applied in computing models, biological models, market forecasting, etc., can solve problems such as the difficulty of distinguishing specific values, the difficulty of measuring subjective factors, and the lack of uniform standards for defining value evaluation
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[0060] The following is attached Figure 1-3 The present invention is described in further detail.
[0061] In order to solve the problems existing in the prior art, the present invention proposes a digital content resource value evaluation method based on gray relational analysis and random forest regression GCA-RFR model.
[0062] Firstly, the "value chain theory" is used as the main line to explore the influencing factors of the value of digital content resources, and based on this, the value evaluation index system of digital content resources is constructed; secondly, the generalized gray relational analysis method is used to verify and screen the evaluation indicators, and through the entropy value- Deng's gray relational analysis method is used to screen the initial samples; finally, the random forest regression RFR model is used for training, and the value evaluation method of digital content resources is constructed by continuously optimizing the model.
[0063] Such...
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