A Social Network system oriented hybrid recommendation model

In the framework of Data Vitalization, data has inner connection. In this paper, we apply it to recommendation system of Social Networking Services. With the development of Social Networking Services, the research and application of SNS flourish. In SNS, recommendation for users is a significant feature. Recommending items that will be accepted by users is a key point. Considering the feature of SNS data, traditional recommendation based-on content or based-on collaborative filtering can´t be fully applied to SNS. In this paper, we combine recommendation based-on content with that based-on collaborative filtering. And propose the concept of user intimacy based on the interaction between users. With these three aspects, we construct a hybrid recommendation model. Experiment is conduct to show advantage of the model in accuracy and verify its practicality.