面向用户粘性和盈利的大规模实时数据管理

Simon Jonassen
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引用次数: 2

摘要

ense帮助公司了解他们的受众,并建立良好的在线体验。Cxense Insight和DMP可以让客户根据所消费的内容和执行的操作实时注释、过滤、细分和定位他们的用户。Insight拥有超过5000个活跃网站,每月追踪超过10亿独立用户,页面浏览量超过150亿。为了实时利用海量数据,我们利用数据库、信息检索和数据挖掘等熟悉的技术,构建了一个大型分布式系统。在这次演讲中,我们概述了我们的解决方案,并对我们使用的技术和面临的挑战提出了一些见解。对于本科生和博士生以及经验丰富的研究人员和工程师来说,这篇介绍应该很有趣。
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Large-Scale Real-Time Data Management for Engagement and Monetization
Cxense helps companies understand their audience and build great online experiences. Cxense Insight and DMP let customers annotate, filter, segment and target their users based on the consumed content and performed actions in real-time. With more than 5000 active websites, Insight alone tracks more than a billion unique users with more than 15 billions page views per month. To leverage the huge amounts of data in real-time, we have built a large distributed system relying on techniques familiar from databases, information retrieval and data mining. In this talk, we outline our solutions and give some insight into the technology we use and the challenges we face. This introduction should be interesting to undergraduate and PhD students as well as experienced researchers and engineers.
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