Application of Collaborative Filtering Algorithm based Collaboration and Collaborative Environment in the Inheritance of Traditional Ceramic Culture

Nowadays, the protection and inheritance of traditional culture are facing unprecedented challenges. Against this background, this study selects traditional ceramic culture with profound cultural deposits as the research object, aiming to explore how to utilize modern scientific and technological means, especially information technology, to promote and strengthen the inheritance of traditional culture. We use collaborative filtering algorithms to build a learning environment based on collaboration and cooperation, which analyzes and processes user behavioral data to recommend learners with similar interests or needs to collaborate with each other, thus improving learning efficiency and depth of cultural understanding. In the knowledge test score, it went from 65-70 at the beginning to nearly 80; and in the skill assessment score, it improved from below 75 to about 90. It is found that this approach not only effectively promotes communication and interaction among learners and increases learning motivation, but also enhances learners' understanding and skill mastery of ceramic culture in a relatively short period of time.