Mobile data traffic package recommendation algorithm based on user historical data
A technology of traffic package and recommendation algorithm, applied in data processing applications, computing, computer parts, etc., can solve problems such as insignificant recommendation effect, random traffic package recommendation, and user disgust.
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[0054] In order to better understand the technical content of the present invention, specific examples are given and described as follows in conjunction with the accompanying drawings.
[0055] Such as figure 1 As shown, the mobile user data package recommendation algorithm is to generate training data sets and prediction training sets through data preprocessing, and then use the random forest classification algorithm to mine potential promotion users as target users, and finally use the K-means clustering algorithm to obtain similar user clusters , that is, the user's neighbors, and use the collaborative filtering algorithm on the basis of the user's neighbors to obtain the user's scoring matrix for the item, and get the TopN package recommendation list.
[0056] Random forest classification algorithm mining potential users and K-means combined with collaborative filtering package recommendation algorithm are the main steps of the invention. The idea of the invention is to ...
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