摘要
研究评级和评论制度对消费者购买商品决策的影响,能有效帮助公司制定合理的营销策略。本文采用关键词信息匹配技术,基于时间序列的综合评价模型,开发TSS模型用于分析在线产品销售策略以提高产品满意度。模型以月为时间单位,拟合平均评价值和时间的关系,发现初始阶段顾客对商品评价会存在较大差别,第70个月后评价开始趋向集中。特定高评级对评论产生正向中性程度影响,特定低评级产生正向较弱程度影响;而特定好评会对评价产生正向较强程度影响,特定差评会产生负向较弱程度影响。随着时间的推移,TSS模型鲁棒性强,为其他商品在线评级销售同样提供了清晰可行的解决方案,适用于各种产品的评价评级研究。
Research ratings and reviews system for consumers to buy goods influence decision-making,can effectively help the company develop a reasonable marketing strategy.This article uses keyword information matching technology,based on a comprehensive evaluation model of time series,and develops a TSS model for analyzing online product sales strategies to improve product satisfaction.The model uses the month as the time unit and fits the relationship between the average evaluation value and the time.It is found that there is a big difference in the customer's evaluation of the product in the initial stage.Certain high ratings have a positive neutral impact on reviews,certain low ratings have a positive weak impact;while certain positive reviews will have a positive impact on reviews,and certain negative reviews will have a negative impact on reviews.Over time,the TSS model is robust and provides a clear and feasible solution for online rating sales of other commodities,which is applicable to the evaluation and rating research of various products.
作者
王佳帅
金宇悦
刘亚飞
吴宇航
WANG Jia-shuai;JIN Yu-yue;LIU Ya-fei;WU Yu-hang(School of mining engineering,North China University of Science and Technology,Tangshan Hebei 063210,China;School of economics,North China University of Science and Technology,Tangshan Hebei 063210,China;North China University of Science and Technology,education base for innovation,Tangshan Hebei 063210,China;Mathematical Modeling Innovation Lab,North China University of Science andTechnology,Tangshan Hebei 063210,China;Hebei Key Laboratory of Data Science and Applications,Tangshan Hebei 063210,China;Tangshan Key Laboratory of Data Science,Tangshan Hebei 063210,China)
出处
《新一代信息技术》
2019年第24期71-76,93,共7页
New Generation of Information Technology
基金
华北理工大学“面向对象的曹妃甸区道路网变化监测”(项目编号:X2019223)。
