An efficiently interactive social website based on web 3.0

An efficiently interactive social website based on web3.0 is proposed in this paper. The main concept is to use the characteristic of Giant Global Graph and the API of social network to integrate friends from various social platforms and to further create high efficient interactive mechanisms such as efficiency by making recommendation of hobby friends and top collections, blogs of interests, external membership collections, real-time chat rooms, cooperative redactions and personal recommendations. For the design of recommendation mechanism, Bayesian Theorem and Fuzzy Theorem were used to accomplish the recommendation mechanisms of site friends, hobby friends and articles.