摘要
基于概念格构建在线健康社区群体用户画像,揭示不同类型群体用户多维度的特征以及不同情境下的行为规律,为优化社区服务提供依据。利用Python获取在线健康社区糖尿病圈的用户数据,从用户需求、用户角色、用户行为三个维度构建在线健康社区用户画像概念模型;利用Con Exp1.3工具构建用户细分标签概念格,通过概念格Hasse图将用户群体分为3大类,实现社区群体用户画像的构建;通过关联规则挖掘群体用户在不同情境下的行为规律,实现用户画像的完整刻画。利用概念格进行群体聚类能够以层级的形式显示每类群体的属性特征,并且易于挖掘用户属性之间的关联,在构建全面准确的群体用户画像方面具有突出的优势,有助于社区深入了解用户群体,实现精准服务。
In this work,the user profiles of online health community users were constructed based on concept lattice to reveal the multidimensional features and behavioral rules of different types of user groups in different contexts.Thus,providing the basis for optimizing community services.Python was used to obtain user data of online health community diabetes circle.Further,an online healthy community user profile concept model was constructed taking three aspects into account:user requirements,user roles,and user behavior.ConExp1.3 tools were used to build user segmentation tag concept lattices,and the user groups were divided into three categories using Hasse diagrams to construct the community group user profiles.Mining association rules were used to identify the behavior of the group users in different situations and obtain a complete picture of the user profiles.Clustering using concept lattices can rank the attributes of each group in a hierarchical manner,thereby making it easy to mine the associations between user attributes.This method has distinct advantages in constructing comprehensive and accurate user group profiles.Hence,serving the community through understanding user groups in depth and ensuring accurate services.
作者
张海涛
崔阳
王丹
宋拓
Zhang Haitao;Cui Yang;Wang Dan;Song Tuo(The Management College of Jilin University,Changchun 130022;The Information Resource Research Center of Jilin University,Changchun 130022)
出处
《情报学报》
CSSCI
CSCD
北大核心
2018年第9期912-922,共11页
Journal of the China Society for Scientific and Technical Information
关键词
在线健康社区
用户画像
概念格
关联规则
online health community
user profile
concept lattice
association rules
作者简介
张海涛,男,1966年生,博士,教授,博士生导师,研究方向为情报学理论与方法、信息生态理论与应用、网络舆情,E-mail:zhtinfo@126.com.;崔阳,女,1994年生,硕士研究生,研究方向网络舆情.;王丹,女,1990年生,博士研究生,研究方向为网络舆情.;宋拓,女,1989年生,博士研究生,研究方向为信息生态理论与应用。
