| 李松江 赵家伟 杨 迪 张 昕.高端装备制造产业科技服务SaaS用户画像研究[J].中国科技资源导刊,2020,(5):15~21 |
| 高端装备制造产业科技服务SaaS用户画像研究 |
| Research on SaaS User Portrait of High-end Equipment Manufacturing Industry Technology Service |
| 投稿时间：2020-03-23 |
| DOI： |
| 中文关键词: 用户画像；用户需求；行为数据；科技服务；用户特征 |
| 英文关键词: user portrait, user demand, behavioral data, scientific and technical services, user characteristics |
| 基金项目:国家重点研发计划现代服务业重点专项项目“哈长城市群综合科技服务平台研发与应用示范”（2017YFB1401800） |
| 作者 | 单位 | | 李松江 赵家伟 杨 迪 张 昕 | （长春理工大学，吉林长春 130022） |
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| 中文摘要: |
| 综合科技服务平台的研发、建设和实施推动科技资源发现系统技术的飞跃性发展。通过大数据技术对海量
用户行为数据分析能够帮助系统掌握用户重要特征，构建用户画像，从而提供更加精准的科技服务。本文围绕哈长城
市群，面向高端装备制造产业科技服务SaaS应用平台，开展用户画像获取方法研究。通过整合用户静态数据与动态行
为数据，完成数据清洗、聚类及标签映射工作，进而提取用户特征，在高端装备制造产业科技服务中实现精准营销、
个性化服务，强化整体科技服务体系，使科技服务更加方便、快捷。 |
| 英文摘要: |
| The research, development, construction and implementation of integrated science and technology
service platform promote the rapid development of science and technology resource discovery system
technology. The analysis of massive user behavior data through big data technology can help the system master
the important characteristics of users, realize the construction of user profiles, and provide more accurate
scientific and technical services. This paper focuses on Harbin-Changchun urban agglomeration, and the SaaS
application platform of high-end equipment manufacturing industry technology service, and carries out the
research on user portrait acquisition methods. Through the integration of user static data and dynamic behavior
data, data cleaning, clustering and label mapping are completed, and then user characteristics are extracted,
so as to achieve precise marketing and personalized services in high-end equipment manufacturing industry
science and technology services, strengthen the overall science and technology service system, and make
science and technology services faster and more convenient. |
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