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基于数据挖掘的理论和方法,研究网络上食品销量的影响因素。以饮料产品为代表性研究对象,以多元非线性回归模型考察饮料上市时间、往期销量、广告投入比例、售价容量比、售价均值差、饮料种类、用户评分和含糖量等多种因素对销量的影响。经过实际数据分析和实验验证,找到对饮料销量影响最大的六大因素,并解释每种因素对销量的实际影响,从而为饮料销售商提供合理化的决策建议。
Based on the theory and method of data mining, this paper studies the influencing factors of food sales on the Internet. Taking the beverage products as the representative research object, the multivariate non-linear regression model was used to investigate the time-to-market, past sales, advertising investment ratio, selling price to capacity ratio, the average selling price difference, beverage types, user ratings and sugar content The impact of factors on sales. After the actual data analysis and experimental verification, to find the six factors that have the greatest impact on the sales of beverages, and explain the actual impact of each factor on sales volume, so as to provide beverage vendors with rationalized decision-making recommendations.