Research on the Personalized Recommendation for Tujia Brocade Cultural Resources

Tujia brocade (Xi lan ka pu) is a kind of traditional handcraft brocade which was listed in the first batch of non-material cultural heritage of China. It has become a popular trend to promote non-material cultural heritage with digital technology. Personalization recommendation for Tujia brocade culture resources could push new knowledge and something the user interested in, which could improve the efficiency of knowledge searching. The purpose of this paper is to realize personalization recommendation of Tujia brocade culture resources via using the hybrid recommendation technology, which was combined collaborative filtering with content filtering. Initially, we establish a set of basic culture resource databases for Tujia brocade, including user information database, preference pattern database, and build the user model and resource model. We then match the user preferences and the specific characteristics of Tujia brocade cultural resources through the description of resource characteristic. We finally choose the resources with high similarity and recommends to users, so as to realize the personalized recommendation for Tujia brocade culture resources.