【摘要】 为电商直播平台更精细运营提供建议。以蘑菇街电商直播间动作用户作为研究对象,通过爬虫程序,获取直播间截图、分享、加购物车、加关注、弹幕、时间等和动作用户个人主页的粉丝数、关注数、种草力数、身高、体重等,提出并使用二次聚类的群体画像方法。结论表明该平台存在9类典型群体,对聚类中心点对比,识别各群体特征,提出精准运营策略和建议。更多还原

【Abstract】 Provide suggestions for the finer operation of the e-commerce live broadcast platform. Taking the action users of Mogujie e-commerce broadcast room as the research object, through the crawler program, the screenshot, share, add shopping cart, add attention, bullet screen, time, etc. of the broadcast room and the number of fans, number of attention, number of grass planting, height, weight, etc. of the personal homepage of the action users are obtained. And the group portrait method of secondary clustering is proposed and used. The conclusion shows that there are 9 types of typical groups in the platform. By comparing the clustering center points, the characteristics of each group are identified and precise operation strategies and suggestions are put forward.更多还原