An application recommendation method based on IUF

The application of intelligent terminal comes into being brings great convenience to the work and life of people. In order to facilitate the user to find the desired application quickly, it is necessary to provide a solution implemented. Referring to RFM model, an application recommendation method based on IUF model is proposed in this paper. This method can calculate the user's recommendation rate for an application by combining the user's most recent average time interval, number of uses and network traffic value based on standardized formula. Based on the result of recommendation rate, the application apps which never installed by user can be recommended to them. The experimental results show that the method can judge the application category of the user's favorite effectively, and determine the application to be recommended more accurately and reasonably. And through evaluated by comparison with other indicators, the accuracy, recall rate and F value are over 14% higher than the recommended method based on a single indicator, which proved the effectiveness of this method.