基于用户画像的信息智能推送方法  

Intelligent information push method based on user portrait

作　　者：姜建武 李景文[1] 陆妍玲[1] 叶良松[1] 

机构地区：[1]桂林理工大学测绘地理信息学院,广西桂林541004

出　　处：《微型机与应用》2016年第23期86-89,92,共5页Microcomputer & Its Applications

基　　金：广西自然科学基金项目(2014GXNSFDA118032);广西科学研究与技术开发计划项目(1598019-4);广西桂林市科技攻关项目(20140108-2)

摘　　要：针对传统信息推送服务由于缺少对用户个人综合因素的考虑,存在针对性差、推广转化率低的问题,在大数据理论基础上提出了一种基于用户画像的智能信息推送方法。该方法将用户抽象为结构化信息本体,通过构建行为-主题、主题-词汇及行为-词汇三位一体的数学模型,研究基于用户画像的信息本体提取方法。采用包含对象、时间、地点、内容、行为和重返次数六方面内容的事件描述法计算本体权重,以此构建用户画像。设计了基于用户画像的智能信息推送系统,为大数据环境下面向用户的智能信息推送提供了一种新的方法。Traditional information push service lack of consideration of user~ personal factors, so has two problems of low efficiency and low conversion, to solve these problems, this paper presents a new intelligent information push method based on user portrait and big data theory. This method abstracts user as a structured information noumenon, through building behavior-theme, theme-words and behavior-words mathe-matical model, to study the information ontology extraction method based on the user portrait. The body weight is calculated by six aspects including the object, time, place, content , behavior and return times, comprehensive information ontology and weight to build a user portrait and design a intelligent information push process based on user portrait. The method provides a new way for the intelligent information push in the large data environment.

关 键 词：用户画像 信息推送 信息本体 大数据 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]