MACHINE LEARNING MODEL BASED RECOMMENDATIONS FOR VEHICLE REMOTE APPLICATION

摘要

A server for machine learning model based recommendations for vehicle remote application is provided. The server includes circuitry configured to retrieve customer subscription data associated with a first set of customers related to a set of vehicles. The set of vehicles are controlled with one or more remote applications associated with the server. The circuitry extracts the first set of features from the customer subscription data and trains a machine learning model based on the first set of features and a first feature of the first set of features. The first feature corresponds to a paid subscription of a remote application. The circuitry determines an importance score for each of the first set of features based on the trained machine learning model. The circuitry generates recommendation information related to the remote application, based on the determined importance score and transmits the recommendation information to electronic devices associated with the server.