商户评分数据的关联分析方法与实证研究

发布时间：2018-06-19 18:35

本文选题：商户评分数据 + 关联分析　；参考：《郑州大学》2017年硕士论文

【摘要】：当今社会,人们在出门选择商家或者购买商品之前,往往会先查看电商网站上的商户评分信息,从而判断这家商户的服务或产品质量等情况,以便做出消费决策。人们经常会使用网站上的商户评分信息进行消费参考,而很少有人研究这些商户评分信息本身。对商户的评分数据进行合理的分析研究,从而发现数据之间的关联关系,有助于用户判断商户评分数据的可信度,做出合理的消费选择。在本文研究中,笔者从关联分析的角度出发,分析这些电商网站上的商户评分数据。首先介绍商户的评分数据、关联分析、相关分析、回归分析的基础概念与方法,然后利用相关分析和回归分析的方法,设计一套适用于电商网站商户评分数据的关联分析方法,该方法分为数据采集、数据清洗和关联分析三个步骤,其中关联分析部分又分为三个方面,分别是商户评分数据的相关分析、线性回归分析和虚拟回归分析,利用相关分析找出商户各项评分之间或商户评分与人均消费之间的关联,利用线性回归方法分析商户总评分与各项评分之间的关系,利用虚拟回归分析探索不同类别对于商户评分的影响,找出商户评分数据之间的关联关系。为了验证这套商户评分数据的关联分析方法,笔者采集5个地市的3700条餐饮商户评分数据,对这套关联分析方法进行实证研究。利用相关分析发现商户各项评分之间、人均消费和商户各项评分之间的关联关系,找出用户的打分习惯,分析人均消费与商户各方面服务是否存在关联;利用线性回归分析计算出商户总评分与各方面评分之间的关联关系,判断商户总评分数据的可信度,了解哪些因素更能影响商户的总评分;利用虚拟回归分析找出地域对人们喜好菜系的影响。查看数据的处理效果,验证这套商户评分数据的关联分析方法。对于消费者来说,可以验证日常生活中使用的商户评分数据是否可信,增加人们对这些评分数据的了解;对于商户来说,可以帮助他们找到消费者的喜好,助其发展经营。
[Abstract]:In today's society, people often check the score information on e-commerce websites before going out to choose merchants or buy goods, so as to judge the service or product quality of the merchants in order to make consumer decisions. People often use the business rating information on the website for consumer reference, but few people study the information itself. This paper makes a reasonable analysis and research on the score data of the merchant, and finds out the correlation between the data, which is helpful for the user to judge the credibility of the scoring data and make a reasonable consumption choice. In this study, the author analyzes the score data of these e-commerce websites from the perspective of correlation analysis. This paper first introduces the basic concepts and methods of scoring data, association analysis, correlation analysis and regression analysis of merchants, and then designs a set of association analysis methods suitable for the score data of merchants on e-commerce websites by using the methods of correlation analysis and regression analysis. The method is divided into three steps: data acquisition, data cleaning and association analysis. Correlation analysis was used to find out the relationship between the score of the merchant and the consumption per capita, and the linear regression method was used to analyze the relationship between the total score of the merchant and the score. Virtual regression analysis is used to explore the influence of different categories on the score of merchants and to find out the correlation between the data. In order to verify the correlation analysis method, the author collected 3700 restaurant rating data from 5 prefectures, and made an empirical study on the correlation analysis method. By using the correlation analysis, we find out the relationship between the scores, the consumption per capita and the scores, find out the scoring habits of the users, and analyze whether there is a correlation between the consumption per capita and the various aspects of services. The linear regression analysis is used to calculate the correlation between the total score of the merchant and the score of all aspects, to judge the reliability of the data of the total score of the merchant, and to find out which factors can affect the total score of the merchant. Virtual regression analysis was used to find out the influence of region on people's favorite cuisine. Check the effect of data processing, verify this set of business score data association analysis method. For consumers, it can verify the credibility of the business score data used in daily life, increase people's understanding of these scoring data; for businesses, it can help them to find consumer preferences and help them to develop business.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F724.6;F274

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