基于用户画像模型的社会服务与管理资源池系统建设实践
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摘要
社会治理精准化需要利用信息动态感知、知识深度学习等科技新手段,对社会治理要素进行精确分析,为社会治理创新提供新的技术支撑。将用户画像技术引入到社会治理中,构建了社会治理要素的画像模型,以武汉市为例,建设基于用户画像模型的武汉市社会治理要素大数据资源池,阐述其服务民生、服务决策的应用实践,为智慧社会治理的空间决策奠定基础。
To provide new technological support for innovation of social governance, accuracy of social governance requires accurate analysis of social governance elements through new scientific and technological means such as dynamic perception of information and deep learning of knowledge as. User portrait technology is introduced in social governance to construct a portrait model of social governance elements, then a large data resource pool of social governance elements in Wuhan is established. Its application practice, which provides basic support for spatial decision-making of intelligent social governance, is also expounded.
To provide new technological support for innovation of social governance, accuracy of social governance requires accurate analysis of social governance elements through new scientific and technological means such as dynamic perception of information and deep learning of knowledge as. User portrait technology is introduced in social governance to construct a portrait model of social governance elements, then a large data resource pool of social governance elements in Wuhan is established. Its application practice, which provides basic support for spatial decision-making of intelligent social governance, is also expounded.
引文
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[2] 张慷.手机用户画像在大数据平台的实现方案[J].信息通信,2014(2):266-267
[3] 黄文彬,徐山川,吴家辉,等.移动用户画像构建研究[J].现代情报,2016,36(10):54-61
[4] 费鹏,林鸿飞,杨亮,等.一种用于构建用户画像的多视角融合框架[J].计算机科学,2018,45(1):179-182
[5] 李宗华,彭明军,潘琛玲,等.基于时空大数据的社会管理创新平台建设[J].地理空间信息,2016,14(9):1-6
[6] 边馥苓,杜江毅,孟小亮,等.时空大数据处理的需求、应用与挑战[J].测绘地理信息,2016,41(6):1-4
[7] 杜胜兰,李枫,黄长青,等.基于轨迹数据的武汉大学学生行为规律分析[J].测绘地理信息,2017,42(1):91-95
[8] 李冰,王悦,刘永祥.大数据环境下基于K-means的用户画像与智能推荐的应用[J].现代计算机(专业版),2016(24):11-15
[9] 高倩影,佘冰,呙维,等.在线空间商务智能多源数据集成与交互可视化分析[J].测绘地理信息,2015,40(1):61-64
[10] 刘海,卢慧,阮金花,等.基于“用户画像”挖掘的精准营销细分模型研究[J].丝绸,2015,52(12):37-42
[11] 张小可,沈文明,杜翠凤.贝叶斯网络在用户画像构建中的研究[J].移动通信,2016,40(22):22-26
[12] Chen T,Guestrin C.XGBoost:A Scalable Tree Boosting System[C].The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining,San Francisco,USA,2016
[13] 朱懿,孟祥宁.我国信息化治理创新实践与优化对策研究[J].行政与法,2014(9):57-61
[14] 刘霞.“互联网+”时代创新基层社会治理的思考[J].农业网络信息,2015(10):110-112