In order to overcome the shortcomings of similarity measurement in recommendation algorithms, we propose a new collaborative filtering recommendation algorithm for calculating the integrated similarity of cloud model based on shape similarity and distance similarity. Taking account of the interest of users, we introduce the concept of familiarity similarity of cloud model, based on which the neighbors are identified, thus obtaining the recommendation results. Experimental results show that the proposed method can improve recommendation accuracy .