摘要
随着互联网技术的发展,企业对手机的营销方面表现得更加重视。现如今,借助大数据技术挖掘出用户在手机使用方面的热度,精准掌控消费者群体的喜好变迁,使得在消费者的需求不断增大的同时,品牌营销的策略也在不断变化。随着我国电子商务和移动支付的快速发展,手机已成为了人们生活时必不可少的工具。文章采用深度学习算法,构造主成分分析、多项Logistic等模型,应用于各种类型的用户,将所得结果进行定量分析,提出合理化建议。
With the development of Internet technology, companies have paid more attention to the marketing of mobile phones. Nowadays, the use of big data technology to excavate the user's popularity in the use of mobile phones, and accurately control the preferences of the consumer groups, making the consumer's needs constantly upgrade and change at the same time, brand marketing strategy is also rising. With the rapid development of e-commerce and mobile payment in China, mobile phones have become an indispensable tool for people. Deep learning algorithm is used to construct principal component analysis, multiple Logistic models, and applied to various types of users. The obtained results are quantitatively analyzed and rational marketing suggestions are proposed.
作者
唐志晶
孙景浩
王执政
伍玉通
周书冉
Tang Zhijing;Sun Jinghao;Wang Zhizheng;Wu Yutong;Zhou Shuran(Henan Normal University,Xinxiang 453007,China)
出处
《无线互联科技》
2018年第13期118-119,共2页
Wireless Internet Technology