基于移动融合的社交网络用户个性化信息服务研究  

Research on Personalized Information Service of Social Network Based on Mobile Convergence

作　　者：张继东[1] 李鹏程[1] 

机构地区：[1]湖北工业大学经济与管理学院,湖北武汉430068

出　　处：《情报理论与实践》2017年第9期33-36,54,共5页Information Studies:Theory & Application

基　　金：国家自然科学基金面上项目"移动社交网络环境下基于情景化偏好的用户行为感知与自适应建模研究"(项目编号:71573073);湖北省教育厅哲学社会科学研究重大项目"语义环境下的数字图书馆知识深度聚合与可视化研究"(项目编号:15JD023)的成果

摘　　要：文章提出移动融合的概念,构建了在移动融合下为社交网络用户推荐个性化信息服务的模型,能够快速而准确地从海量信息中为移动社交网络用户提供所需要的服务。通过LBS服务与社交网络融合所产生的地理社交数据等信息提取用户行为特征,继而为用户匹配与特征相符的个性化服务,最后探讨了移动融合目前所面临的问题与挑战。This paper proposes the concept of mobile convergence, and constructs a model of personalized information service for social network under mobile convergence, which makes it possible to quickly and accurately provide mobile social network users with the services they need from mass information. The paper extracts the characteristics of user behavior from information such as geo-social data generated by the fusion of social networks and LBS, and then matches the characteristics with the personalized serv- ice. Finally, the paper discusses the issues and challenges faced by mobile convergence.

关 键 词：移动融合 信息服务 移动社交网络 个性化服务 

分 类 号：G252[文化科学—图书馆学]