Construction of Socialization Recommendation Based on Bipartite Network under Taste Environment
Jiming Hu · Information Sciences · 2011
The selection of similarity calculation and uses' preference predication is the key factor for the recommendation performance of collaborative recommendation system.In this paper,under the Taste collaborative recommendation engine,the operation mechanism of social recommendation was first analyzed,the social recommendation model was constructed,and.the key methods of the model was also elaborated in detail.Based on above,the method of Construction of Social Recommendation Based on Bipartite Network under Taste Environment was explored,using the movie dataset,we conducted the realization of socialization recommendation,indicating that our scheme has the better performance compared with others.