The recommendation method in the heterogeneous network uses a uniform model to simulate a plurality of objects with different types and a complex relation that may exist in the objects, and finishes recommendation perfectly by the model.
The invention relates to a recommendation method in a heterogeneous network and a recommendation system based on the method. The recommendation method in the heterogeneous network uses a uniform model to simulate a plurality of objects with different types and a complex relation that may exist in the objects, and finishes recommendation perfectly by the model. Firstly, a social network library (the objects and the relation are heterogeneous) is established; and then, the global importance estimation to the social network object is executed by an importance calculating device; next, the relevance estimation to the social network object is executed by a relevance calculating device; the browse information of the active user is obtained by a browse historic information calculating device; atlast, the operation of given subgraph and recommendation subgraph is executed by above three basic devices in the social relation network. The method is effective and overcomes the defect that only atype of object is recommended in the prior art.