Automobile Service Evaluation and Analysis System Based on RVM Algorithm

Abstract

With the prosperity and development of domestic and international automobile market, automobile service industry develops everywhere. In this environment, the construction and development of automobile service evaluation and analysis system must be strengthened. To cope with the increasing market competition, it is necessary to strengthen the network construction and development of automobile service evaluation and analysis system, and improve the high availability and reliability of the system. This article studied the RVM algorithm based car service evaluation system, focus on RVM algorithms, definition, concept, application range and so on, also explained the enterprise service evaluation system basic composition, system architecture, system principle, etc., and expounds the auto service evaluation system based on RVM method how to improve the effect. The superiority of automobile service evaluation and analysis system based on RVM algorithm is proved from data. The research and development of automobile service evaluation and analysis system based on RVM algorithm is combined with big data technology to carry out functional reform of automobile service evaluation and analysis system, improve system efficiency and improve the overall quality level of the system. After many tests, the scores of this auto service evaluation and analysis system based on RVM algorithm in the first guarantee return rate, the first payment rate, the proportion of accident vehicles, proportion of after-sales boutique revenue, accessories dead stock rate and zero-amplitude absorption are respectively 98%, 95%, 5%, 45%, 6% and 80%.