Abstract: Lacking of high efficiency personal recommendation in recommendation system,we proposed a new method in collaboration filtering recommendation system by using semantic checking.We check the result of collaboration filtering based on user item by Bayesian semantic to eliminate the item of lower probability,and to select the higher probability item to users.In constructing the Bayesian semantic check network,we add an emotion field named “fancy” by questionnaire survey and information feedback,and we decide user’s emotion for some goods to ensure the scientific of semantic checking network.Experiments show that the method can eliminate the items with low user preferences and improve the satisfaction degree of the users.

Key words: Collaboration filtering,Bayesian network,Recommendation system,Semantic