电信科学 ›› 2012, Vol. 28 ›› Issue (3): 27-31.doi: 10.3969/j.issn.1000-0801.2012.03.009

• 专题：SoLoMo的移动互联网应用 • 上一篇    下一篇

个性化推荐在移动互联网业务中的应用

张玉忠,袁立宇,徐雄   

  1. 中国电信股份有限公司广东研究院 广州 510630
  • 出版日期:2012-03-15 发布日期:2012-03-15

Application of Personal Recommendation in Mobile Internet Service

Yuzhong Zhang,Liyu Yuan,Xiong Xu   

  1. Guangdong Research Institute of China Telecom Co.,Ltd.,Guangzhou 510630,China
  • Online:2012-03-15 Published:2012-03-15

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摘要：

以SoLoMo为标志的新一轮商业模式带动了移动互联网时代用户的上网行为及消费方式的转变，用户对互动性、实时性服务的需求愈发迫切，服务差异化和需求个性化的期望也为数据挖掘和应用提供了新的机遇和挑战。本文从移动互联网用户的行为知识库开放平台、智能化用户模型关键技术、个性化信息推荐及应用等几个方面，探索如何构造一个共赢的移动生态产业链体系。

关键词: SoLoMo, 用户行为分析, 云计算, 数据挖掘

Abstract:

In the mobile internet era,business model of SoLoMo changes the social network and consume mode,the customers need more interactive and real-time services,which should be supported by data-mining to provide varying of services and personalization of demands.And this article tries to provide an overview of how to setup a win-win value chain based on the user behavior analysis and business intelligence model and personal recommend.

Key words: SoLoMo, user behavior analysis, cloud computing, data minin

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