基于约束的网上药店物流配送商推荐研究

发布时间：2018-06-23 22:24

本文选题：网上药店 + 个性化推荐　；参考：《昆明理工大学》2017年硕士论文

【摘要】：随着人们消费水平的不断提高,人们对医疗健康越来越重视,带动了整个医疗行业的蓬勃发展,而网上药店作为新兴的药物购物平台,给消费者带来极大的便利。但是网上药店作为一个新兴的电子商务平台,也出现很多问题。主要表现在,网上药店物流配送时间过慢,物流配送成本过高、配送药品的安全性不能保证等问题困扰着网上药店的发展,导致现在消费者对网上药店物流配送的投诉率越来越高,而解决上述问题的办法就是根据消费者的个性化需求,来设计出符合消费者需求的物流配送商。为此本研究设计从获取消费者的信息和物流配送商的相关信息入手,从而确定三个关键维度即消费者对物流配送的时间性需求、安全性需求、经济性需求。采用基于约束的推荐算法,确立合适的约束条件来为消费者筛选出合适的物流配送商。为了研究网上药店物流配送商推荐方法和推荐模型的有效性,在本研究中采取实例研究的方法,通过邀请某大学50名学生进行实验研究,对推荐的物流配送商进行满意度调查。而实验研究表明:使用推荐模型推荐的物流配送商在时间性、安全性、经济性等方面具有较高的满意度。从而证明本研究设计提出的物流配送商推荐算法在提高消费者对物流配送商满意度方面具有显著的效果。
[Abstract]:With the continuous improvement of people's consumption level, people pay more and more attention to medical care and health, driving the vigorous development of the entire medical industry. As a new drug shopping platform, online drugstores bring great convenience to consumers. However, as a new e-commerce platform, online drugstores also have a lot of problems. The main problems such as slow distribution time, too high cost of logistics distribution, and the safety of distribution drugs are puzzling the development of online drugstores. As a result, the complaint rate of online drugstore logistics distribution is becoming higher and higher, and the solution to the above problem is to design the logistics distributor according to the consumers' personalized needs. Therefore, this research design starts with obtaining the information of consumers and the relevant information of logistics distribution providers, and then determines three key dimensions, namely, consumers' demand for time, security and economy of logistics distribution. By using constraint-based recommendation algorithm, appropriate constraints are established to select suitable logistics distribution providers for consumers. In order to study the validity of the recommendation method and recommendation model of online drugstore logistics distributor, this study adopts the method of case study, and by inviting 50 students from a certain university to carry out an experimental study, the satisfaction of the recommended logistics distributor is investigated. The experimental results show that the logistics providers recommended by the recommendation model have high satisfaction in terms of time, security, economy and so on. It is proved that the proposed recommendation algorithm of logistics distributor has remarkable effect on improving the satisfaction of logistics distributor.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F724.6;F252

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