Automatic Persona Generation (APG): A Rationale and Demonstration
Automatic Persona Generation (APG): A Rationale and Demonstration
复制标题
自动角色生成（APG）：基本原理和演示
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
B. Jansen
中科院分区：
文献类型：
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作者：
Soon;Joni O. Salminen;Haewoon Kwak;Jisun An;B. Jansen
我们提出了自动人物角色生成（APG），使用大量的在线社交媒体数据的定量人物角色生成的方法和系统。该系统是可操作的，测试版部署了多个垂直行业的多个客户组织，从中小型企业到大型跨国公司。APG使用强大的Web框架和稳定的后端数据库，目前正在处理数千万用户与Facebook和YouTube等多个社交媒体平台上的数千种在线数字产品的交互。APG可以识别不同的和有影响力的用户群，然后通过自动添加相关特征（如姓名、照片和个人属性）来创建角色描述。我们提出了整体的方法，架构开发，和主要的系统功能。APG对于通过在线平台分发内容的组织具有潜在价值，并且在角色生成方法上是独一无二的。APG可以在https://persona.qcri.org上找到。
We present Automatic Persona Generation (APG), a methodology and system for quantitative persona generation using large amounts of online social media data. The system is operational, beta deployed with several client organizations in multiple industry verticals and ranging from small-to-medium sized enterprises to large multi-national corporations. Using a robust web framework and stable back-end database, APG is currently processing tens of millions of user interactions with thousands of online digital products on multiple social media platforms, such as Facebook and YouTube. APG identifies both distinct and impactful user segments and then creates persona descriptions by automatically adding pertinent features, such as names, photos, and personal attributes. We present the overall methodological approach, architecture development, and main system features. APG has a potential value for organizations distributing content via online platforms and is unique in its approach to persona generation. APG can be found online at https://persona.qcri.org.