基于用户画像的目标信息高精度推送仿真

High-Precision Push Simulation of Target Information Based on User Portrait

信息精准推送性能过差会降低信息技术服务企业与用户之间的联系,使相关企业无法及时满足用户需求,为了给用户提供个性化服务,提出基于用户画像的信息精准推送模型。对单一数据来源和多样数据来源展开空间全方位、时间全过程的采集工作,获取贴合实际生活的用户信息,将用户信息与DVMD去噪方法结合,消除用户信息高频分量噪声,获取更为清晰的优化信息。将具备用户行为逻辑的优化信息作为用户画像,与支持向量机(SVM)和Storm、Storm steaming实时计算框架结合,建立信息精准推送模型。实验结果表明,所提方法用户满意度约为85%、且推送精度高。

At present,the performance of accurate information push affects the relationship between enterprises and users of information technology services,making relevant enterprises unable to meet user needs in a timely manner.In order to provide users with personalized services,this paper designed a model for accurate information push based on user portrait.At first,the single data source and multiple data sources were collected in an all-round spatial and temporal way to obtain user information that was suitable for real life.Then,the user information was combined with DVMD denoising method to eliminate high-frequency component noise from user information,thus obtaining clearer information.After that,the optimized information with user behavior logic was used as a user portrait,and then it was combined with the support vector machine(SVM)and the real-time computing framework of Storm and Storm steaming to construct an accurate information push model.Experimental results show that the user satisfaction of the proposed method is about 85%,and the accuracy of information push is high.