Cloud Synergetic Recommendation Model for Overseas Chinese Education by Modeling Multi-Source User Metaphor Information

Abstract

With the deepening of global economic integration, overseas Chinese education has attracted more and more attention. How to quickly and accurately retrieve resources that meet user's personalized needs has become a key issue in the recommendation model of overseas Chinese education. To solve this problem, a cloud synergetic recommendation model for overseas Chinese education is proposed in this paper. Firstly, a user vector space with fine granularity representation is constructed by introducing multi-knowledge source emotional metaphor information. Secondly, considering the synergetic interaction among various user features, we proposed a synergetic user group recognition method based on synergetic theory. Finally, in order to improve the efficiency of resource acquisition, a recommendation model of Chinese education based on cloud computing is presented. The model proposed in this paper has certain reference significance for overseas Chinese education and online learning model.