基于汉明距离分类算法的精准营销

Precision Marketing Based on Hamming Distance Classification Algorithm

摘要: 随着大数据时代的到来，企业营销将不再局限于传统的营销理念与手段，依托现代信息手段，达到精准营销将成为潮流趋势。本文主要研究基于某品牌手机的购买数据，针对用户的个人信息和行为偏好，采用汉明距离分类算法和BP神经网络，对用户进行分类，从而达到精准营销的目的。

Abstract: It will become a trend that within the absence of large data age, enterprise marketing selling will no longer be limited to the traditional marketing concepts and methods, while relying on modern in-formation means to achieve precision marketing. The paper mainly researches on the purchase data based on a brand mobile phone, targets on the user’s personal information and behavior preference, using Hamming distance classification algorithm and BP Neural network to classify the users to achieve the goal of precision marketing.