Personalized information recommendation for chinese paper cutting culture heritage

Abstract

Globalization and information technology are developing rapidly. Chaozhou Chinese paper cutting exists physically. Chaozhou Chinese paper cutting is facing the difficulties of preservation and dissemination. The purpose of this study is to further realize the preservation and personalized recommended dissemination of intangible cultural heritage represented by Chaozhou Chinese paper cutting. In this paper, information technologies such as knowledge graphs, multimedia applications, Bi-RNN neural networks, and probabilistic decomposition models are used. This paper delves into the visual communication and personalized recommendation of intangible culture to preserve, pass on, and spread it better.