The conditional collaborative filtering technology does not consider the user's context information which a-ffect user's rating.But recent research show that user's personalized context directly affect rating,so the result of recommendation can be improved if personalize context is incorporated into conditional collaborative filtering technology.Besides,the personalized context and item class are can be combined,Firstly classifying the items,and then making sure user's personalize context under every item class.When predicting the rating of target item,Firstly make sure which item class the target item is belong to,and then identify the user's personalized context used to compute the rating of the target item.The experimental results show that the recommendation accuracy of proposed approach is better than Slope One.