A novel Approach of Car Recommendation using Machine Learning Algorithm

K. Vengatesan, A. Srivastava, Abhishek Kumar, Sayyad Samee, Prasant Thokal Vijay, P. S. Tanesh
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引用次数: 1

Abstract

This research paper explores the system which is used to recommend car to the users based on the requirement provided by the user. Various requirement of users while choosing a car such as capacity of car, fuel type, and budget are considered and based on that various recommendations are given to user. These recommendations are suggested by using machine learning techniques and different visualization options are available, in order to provide user detailed analysis based on different parameters. The online check option is also available which makes system more supportive and compare different models based on various parameters. The system enables users to choose among plenty of options and select the best suited model.
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一种基于机器学习算法的汽车推荐方法
本文研究的是一个基于用户需求的汽车推荐系统。在选择汽车时,考虑到用户的各种要求,如汽车容量,燃料类型和预算,并根据这些要求向用户提供各种建议。这些建议是通过使用机器学习技术和不同的可视化选项提出的,以便根据不同的参数为用户提供详细的分析。还提供在线检查选项,使系统更具支持性,并根据各种参数比较不同的模型。该系统使用户可以在大量选项中进行选择,并选择最适合的型号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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