基于数据驱动的网络内容流行度预测研究——以服装流行趋势为例

Research on Prediction of Network Content Popularity Based on Data Driven——Take Fashion Trends as an Example

高速发展的互联网时代使得越来越多的用户成为网络内容的创造者与分销商,数据信息的爆炸式增长加剧了各类在线内容对于用户关注度的竞争。用户的搜索浏览与消费交易信息反映了其行为习惯与兴趣爱好,从海量数据中挖掘出有效信息并将其转化为商业价值将大大增强企业的核心竞争力。本文以网络内容的重要组成部分——电商平台的服装销售为例,回顾了网络内容流行度的预测方法及服装流行趋势预测的发展历程,并就如何利用数据驱动的方法来对在线服装流行度进行预测展开了逻辑路径分析,具有一定的指导意义与应用价值。

The rapid development of the internet era has made more and more users become the creators and distributors of network content.The explosive growth of data information has intensified the competition of various online content for users’attention.Users’search,browse and consumption transaction information reflect their behavior habits and interests.Mining effective information from massive data and transforming it into commercial value will greatly enhance the core competitiveness of enterprises.Taking the clothing sales of e-commerce platform as an example,this paper reviews the development process of forecasting the popularity of network content and the trend of clothing popularity,and carries out a logical path analysis on how to use data-driven method to predict online clothing popularity,which has certain guiding significance and application value.