个性化推荐在移动互联网业务中的应用  

Application of Personal Recommendation in Mobile Internet Service

作　　者：张玉忠[1] 袁立宇[1] 徐雄[1] 

机构地区：[1]中国电信股份有限公司广东研究院,广州510630

出　　处：《电信科学》2012年第3期27-31,共5页Telecommunications Science

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。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.

关 键 词：SOLOMO 用户行为分析 云计算 数据挖掘 

分 类 号：TN929.533[电子电信—通信与信息系统]