id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fbem-23721	Yin, Honglei; Pei, Yilei	Research on User Churn Prediction of Traditional Supermarket Digital Platform	2024	8	.pdf	application/pdf	7183	299	47	This is of great significance for reducing the loss of digital platform users, maintaining old users, improving the profits of supermarkets, and achieving the goals of healthy and sustainable development of supermarkets. By comparing and analyzing the contribution of characteristic variables in user churn prediction, the types of lost users are divided according to key characteristic variables such as average monthly consumption times and average consumption amount, and corresponding retention strategies are proposed.	cache/fbem-23721.pdf	txt/fbem-23721.txt