id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-26664	Li, Qizhan	Construction and Empirical Analysis of NFT Digital Art Market Value Prediction Model	2024	4	.pdf	application/pdf	2588	126	50	The experimental results show that the model has high prediction accuracy and reliability, and can capture the key influencing factors of NFT digital art market value, such as artist reputation, scarcity of works and market demand, and point out the importance of the key influencing factors. The main contents include the analysis of influencing factors of NFT digital art market value, the construction and verification of forecasting model and empirical research.	cache/fbem-26664.pdf	txt/fbem-26664.txt