MechService:汽车保养推荐系统

Animesh Sindhu, Abhishek Gupta, A. Shrivastava
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引用次数: 0

摘要

由于网络技术的发展,推荐系统得到了迅速的发展,为技术人员获取客户需求提供了新的途径。然而,推荐系统为客户提供了足够的信息来决定是否推荐技术人员,并且它们确实会分析推荐的信息。现有的可用系统也缺乏对客户的反馈机制,这会降低他们的热情。我们创建了一个数据库推荐系统来解决这些问题。当客户无法找到他们正在寻找的技术人员时,他们将被引导到推荐页面。推荐页面包含客户可以参考的所有基本和扩展信息。此外,客户可以根据技术人员提供的服务进行评级,进行推荐,推荐系统会对推荐的数据进行检查,从而做出理性的购买选择。推荐系统的使用表明,在推荐内容的使用和客户满意度方面都有相当大的提高。
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MechService: Recommendation System for Auto care
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.
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