摘要
近几年,互联网、5G、大数据的发展为企业提供了海量数据资源,也带来了数据管理和分析的挑战。为了更好地利用这些数据,对用户的上网行为进行判断和识别,运营商构建了基于云边协同架构的内容洞察平台,对互联网中海量的内容信息进行采集和解析,对用户的上网行为进行判断和识别。本文从云边协同架构、数据模型架构以及云边协同能力、数据采集能力、解析能力和内容分发能力等方面详细论述了内容洞察平台的实现方式,为运营商提供更好的数据服务能力。
In recent years,the development of the Internet,5G,and big data has provided enterprises with massive data resources and brought challenges in data management and analysis.In order to make better use of these data to judge and identify users'online behaviours,operators build a content insight platform based on cloudside collaboration architecture,which collects and parses massive content information in the Internet and judges and identifi es users'online behaviours.This paper discusses in detail the implementation of the content insight platform from the aspects of cloud-side collaboration architecture,data model architecture,cloud-side collaboration capability,data collection capability,parsing capability and content distribution capability to provide operators with better data service capability.
作者
陈国
张春
夏倩倩
洪文静
鲍向津
肖杰
CHEN Guo;ZHANG Chun;XIA Qian-qian;HONG Wen-jing;BAO Xiang-jin;XIAO Jie(China Mobile Information Technology Co.,Ltd.,Beijing 100033,China)
出处
《电信工程技术与标准化》
2024年第1期81-86,共6页
Telecom Engineering Technics and Standardization
关键词
内容解析
云边协同
大数据
数据模型
content analysis
cloud-edge collaboration
big data
data modelling