Collaborative filtering recommendation algorithm based on high-order connection graph

The invention relates to a collaborative filtering recommendation algorithm based on a high-order connection graph, belongs to the technical field of recommendation algorithms and recommendation systems, and aims to alleviate the problems of cold start and data sparseness of a traditional recommendation algorithm in practical application. In order to solve the problem, a high-order connection graph is introduced, a unified heterogeneous graph is established for multiple users, multiple projects and multiple relations, the high-order relations between the users, between the users and the projects and between the projects are mined, and the influence of data sparsity and cold start on a recommendation result is relieved. In the method, the high-order connection graph is a heterogeneous graph, nodes serve as entities, and edges represent relationships among the entities. The items and their attributes may be mapped into a higher order connection graph to understand higher order connectivity between the items. Mo