基于大数据挖掘的老年手杖个性化定制研究

目的 随着互联网的发展，用户评论快速增长，利用这一海量数据进行文本分析，结合Kano模型，以此来获取更加全面的用户定制需求。方法 提出了一种基于大数据评论文本挖掘的方法，来获取老年手杖个性化定制需求。首先将老年手杖分为三大不同产品等级，挑选典型产品，爬取用户评论；其次通过文本的对应分析获取不同等级手杖用户需求的差异；接着利用LDA模型、结合德尔菲专家法获取用户需求族群；最后利用Kano模型进行需求等级划分，并结合Fisher精确检验进行差异显著度检验。结果 识别出老年手杖的基本型、期望型、兴奋型不同等级用户需求，以指导老年手杖个性化定制界面的设计。结论 结果表明大数据挖掘与Kano模型相结合的方法，能够有效地获取用户个性化需求层级，并指导定制平台的搭建，为产品个性化定制平台的设计提供科学依据。

Personalized Customization of Walking Stick for the Elderly Based on Big Data Mining

With the development of Internet, user review data are growing rapidly, which can be analyzed through text mining and the Kano model to reveal more comprehensive customization demands of users. A research method based on big data text mining was proposed to obtain the personalized customization demands of walking sticks for the elderly. Firstly, the walking sticks for the elderly were divided into three different levels. Then typical samples were selected and the big data of users'' reviews were crawled. Secondly, the text was analyzed to obtain the differences in user demands among different levels. Then, the LDA model and Delphi expert method were used to obtain user demands groups. Finally, the Kano model was used to distinguish the three types of user demands and a Fisher''s exact test was used to measure the significance of differences between three groups. The basic demand, performance demand, and exciting demand were identified to guide the interface design of customized walking sticks for the elderly. The result shows that the method of combining big data mining and the Kano model can effectively obtain different types of users'' personalized demands and guide the construction of customization platform, providing a scientific basis for the design of product personalized customization platform.