Research on Personalized Recommendation System of Traditional Handicraft Based on Semantic Ontology

Abstract

The purpose of this research is to explore the personalized recommendation system for traditional handicrafts from the perspective of semantic ontology, providing new ideas and practical methods for cultural learning, promotion and information management of traditional handicrafts. First, this paper analyzes the development process of personalized recommendation learning of traditional handicrafts in the context of semantic ontology. Furthermore, taking Cantonese porcelain as a practical case, the image information of Cantonese porcelain is analyzed based on semantic ontology theory, and the Cantonese porcelain information database is built. Finally, based on the information of Cantonese porcelain database and user characteristics, a personalized recommendation system is constructed. With the development of personalized learning and traditional handicraft teaching, personalized recommendation learning based on "semantic ontology" theory will further expand the teaching mode of traditional handicraft. The research proposes an in-depth interpretation of the connotation of traditional culture, predicts user interest and preference and pays attention to user characteristics so as to establish a more comprehensive traditional handicraft personalized recommendation system.