用户行为数据分析下的信息推送系统的设计
2017-09-08沈军彩
沈军彩



摘 要: 针对在信息推送过程中难以计算出用户行为数据分析下信息推送指标的权重输出,存在信息推送针对性差,信息推广转化率低的问题,提出一种基于模糊遗传的用户行为数据分析下的信息推送系统设计方法。将互联网用户抽象为结构化数据信息本体,计算出用户行为数据下各词汇的TF?IDF指标,建立用户行为数据下的行为?主题分布模型和主题?词汇分布模型,得到用户行为数据下所有主题?词汇的联合分布,利用向量模型匹配关键词思想理论确定关键词在文档中的权重,通过用户查询与结果记录词条间的关联性计算,得到用户行为数据下不同信息推送指标的权重输出,由此完成用户行为数据分析下的信息推送系统设计。实验结果表明该方法能够有效提高信息推送的准确性,且可扩展性较强。
关键词: 用户行为; 数据分析; 信息推送; 系统设计
中图分类号: TN915?34; TP391 文献标识码: A 文章编号: 1004?373X(2017)17?0158?04
Design of information push system under user behavior data analysis
SHEN Juncai
(Faculty of Information and Computer, Shanghai Business School, Shanghai 201204, China)
Abstract: The current method to push information is difficult to calculate the output weight of information push index under user behavior data analysis, and has poor pertinency and low percent conversion of information push. Therefore, a fuzzy genetic based design method of information push system under user behavior data analysis is proposed. The Internet users are abstracted as structural data information ontology by means of the method to calculate the TF?IDF index of each vocabulary under user behavior data. The behavior?theme distribution model and theme?vocabulary distribution model under user behavior data were established to get all theme?vocabulary joint distributions under user behavior data. The theory of vector model marching keyword is used to determine the weight of keyword in the file. The correlation between entries is calculated by means of user query and result recording to get the output weight of different information push indexes under user behavior data, so as to design the information push system under user behavior data analysis. Experimental results show that the method can improve the accuracy of information push effectively, and has strong scalability.
Keywords: user behavior; data analysis; information push; system design
0 引 言
近年來,随着我国科学技术的飞速发展,互联网和云计算等技术不断地影响和改变着人们的日常生活。当今社会互联网是人们日常生活中获取外界信息的主要来源,也是人们进行信息共享、赢得商机的重要媒介[1?2]。因此,人们对及时获取信息服务的需求随着信息技术的高度发展而逐渐增强,信息推送服务已经在京东、百度、亚马逊等互联网电商以及信息服务企业中得到了广泛的应用,有效的信息推送服务可以方便……
