MechService: Recommendation System for Auto care

Abstract

The recommendation system has been rapidly developed due to web technology that provides a new way for the technician to get the customer's requirements. However, recommendation systems provide customers with enough information to decide whether to recommend a technician, and they do analyze recommended information. The existing available systems also lack feedback mechanisms for customers, which would diminish their zeal. We created a database recommendation system to address these issues. When customers cannot find the technician, they are looking for, they will be directed to the recommended pages. Recommended pages contain all the essential and extension information that customers can refer to. Furthermore, customers can make recommendations by providing a rating according to the service provided by the technician, and the recommendation system will examine the recommended data to make a rational buying choice. The usage of the recommendation system demonstrates a considerable improvement in both the use of recommended content and customer satisfaction.