摘要
本文针对广电网络运营场景的特点和需求,设计并实现了一套基于广电大数据的知识图谱系统,完成了用户画像和知识库的构建,同时提供交互式分析和可视化功能,方便分析人员进行运营分析,为广电运营商的个性化服务和智能运营决策提供辅助支持。
According to the characteristics and requirements of radio and television industry operations, this paper designs and implements a knowledge mapping system based on big data of radio and television industry. It completes the construction of user profile and knowledge data base, and provides interactive analysis and visualization functions, which is convenient for analysts to carry out operation analysis, and supports personalized services and intelligent operation decisions for radio and television operators.
作者
万倩
欧阳峰
赵明
Wan Qian;Ouyang Feng;Zhao Ming(Academy of Broadcasting Science,SAPPRFT,Beijing 100866,China)
出处
《广播与电视技术》
2018年第12期79-86,共8页
Radio & TV Broadcast Engineering
基金
广播科学研究院基本科研业务费项目130016018000115经费资助
关键词
知识图谱
用户画像
广电行业
大数据
Neo4j
Knowledge mapping
User profile
Radio and television industry
Big data
Neo4j
