人们的购物行为受到隐蔽而又变幻多端的情感因素的驱动,推荐引擎则试图分析你的情感,聪明地知道你下一步要买什么当浩瀚的个人信息和上网行为聚集到网络上,原本潜伏在人大脑中的情感性因素,会被复杂的算法技术分析出来,这就是推荐引擎在营销领域的用武之地。爱逛商场的人都知道,想买唇膏的人直奔一楼化妆品专柜,想买少女装的人直接去二楼,想买中年女装的去三楼,商务男装一般在四楼。在传统的商场陈列设计 People’s shopping behavior is driven by covert and changing emotional factors. The recommendation engine tries to analyze your emotions, and cleverly know what you want to buy next. When the vast amount of personal information and online behavior gather on the Internet, the original lurking people Emotional factors in the brain, will be analyzed by complex algorithms and techniques, which is recommended engine in the marketing area. Love shopping mall people know that people want to buy lipstick went straight to the first floor cosmetics counters, girls who want to buy directly to the second floor, want to buy middle-aged women go to the third floor, business men usually on the fourth floor. Display design in traditional mall