郑州大学学报（理学版）2019，Vol.51Issue(4)：30-36,7.DOI:10.13705/j.issn.1671-6841.2019017
基于移动感知数据的用户画像系统
User Portrait System Based on Mobile Sensing Data
摘要
Abstract
A person was represented digitally as a user portrait, which was a model based on a series of data. User portrait has been constructed from age, gender and personality traits based on mobile phone sensory data. Specifically, data has been captured in unlocking screen, phone basic information, app us-age and screen status scenes by using ubiquitous sensors and event listeners available in mobile phone. Furthermore, random forest regression and random forest classification models were separately used to es-timate the age and detect the gender of the user. SVR algorithm was applied to identify personality traits. Model has been evaluated through real-life experiments conducted by 84 phone users totally. Experimental results showed that our approaches achieved the RSME of 4.369 in age estimation and 91.70% precision in gender detection. For personality traits identification, the RMSEs of openness, conscientiousness, ex-troversion, agreeableness and neuroticism were 0.290, 0.351, 0.465, 0.302 and 0.452, respectively.关键词
多维感知数据/年龄估计/性别检测/个性特征识别/用户画像Key words
multidimensional perception data/age estimation/gender detection/personality recogni-tion/user portrait分类
信息技术与安全科学引用本文复制引用
徐恩,於志文,杜贺,郭斌..基于移动感知数据的用户画像系统[J].郑州大学学报（理学版）,2019,51(4):30-36,7.基金项目
国家杰出青年科学基金项目(61725205) （61725205）
国家重点基础研究发展计划项目(2016YFB1001400) （2016YFB1001400）
国家自然科学基金项目(61332005,61772428). （61332005,61772428）
