Recommendation System, Method and Non-Transitory Computer Readable Storage Medium for Storing Thereof

A recommendation system comprising:

• a storage module configured to store an ontology database, wherein the ontology database comprises a plurality of entities, the entities are arranged in an ontology hierarchy structure with N hierarchy levels {L_i}, i=1, 2, . . . , N, N is an integer, the ontology database is configured to store a plurality of jth user data respectively corresponding to a plurality of users, and each of the jth user data records at least one jth entity of the entities on the jth hierarchy level L_j;
• a converting module configured to generate a plurality of kth user data corresponding to the users according to the jth user data respectively, wherein each of the kth user data records at least one kth entity of the entities on the kth hierarchy level L_k;
• a clustering module configured to cluster the kth user data;
• and
• a recommendation module configured to recommend the entities in the ontology database to the users according to the clustering result.

A non-transitory computer readable storage medium for storing a computer program configured to execute a recommendation method applied to a recommendation system, wherein the recommendation method comprises:

• providing an ontology database, wherein the ontology database comprises a plurality of entities, the entities are arranged in an ontology hierarchy structure with N hierarchy levels {L_i}, i=1, 2, . . . , N, and N is an integer;
• storing, through the ontology database, a plurality of jth user data respectively corresponding to a plurality of users, wherein each of the jth user data records at least one jth entity of the entities on the jth hierarchy level L_j;
• generating a plurality of kth user data corresponding to the users according to the jth user data respectively, wherein each of the kth user data records at least one kth entity of the entities on the kth hierarchy level L_k;
• clustering the kth user data;
• and
• recommending the entities in the ontology database to the users according to the clustering result.