User Modeling in Telecommunications and Internet Industry

Qiang Yang
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Abstract

It is extremely important in many application domains to have accurate models of user behavior. Data mining allows user models to be constructed based on vast available data automatically. User modeling has found applications in mobile APP recommendations, social networking, financial product marketing and customer service in telecommunications. Successful user modeling should be aware of several critical issues: who are the target users' How should the solutions be updated when new data come in? How should user feedback be handled? What are the "pain" points of users' In this talk, I will discuss my own experience on user modeling with big data. I will draw examples from telecommunications and the Internet industry, contrasting and highlighting some lessons learned in these industries.
电信和互联网行业的用户建模
在许多应用领域中,拥有准确的用户行为模型是极其重要的。数据挖掘允许基于大量可用数据自动构建用户模型。用户建模在移动APP推荐、社交网络、金融产品营销、电信客户服务等领域都有应用。成功的用户建模应该意识到几个关键问题:谁是目标用户?当新数据进来时,解决方案应该如何更新?如何处理用户反馈?用户的“痛点”是什么?在这次演讲中,我将讨论我自己在大数据用户建模方面的经验。我将以电信和互联网行业为例,对比并强调从这些行业中吸取的一些经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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