社会化标注系统中个性化信息推荐动态模型研究  

Research on the Personalized Information Recommendation Dynamic Model in Social Tagging System

作　　者：武慧娟[1] 秦雯[1] 窦平安[2] 孙鸿飞[1] 

机构地区：[1]东北电力大学经济管理学院,吉林吉林132012 [2]吉林大学管理学院,吉林长春130022

出　　处：《情报科学》2016年第6期43-46,共4页Information Science

基　　金：教育部人文社会科学青年基金项目(15YJC870024);东北电力大学博士科研启动基金项目(BSJXM-201420);东北电力大学"十二五"科研提升工程资助计划项目--软科学及人文社会科学专项(TSSK-201405)

摘　　要：从系统学的角度分析基于社会化标注系统的个性化信息推荐模型,提出该模型共包括六种基本要素;然后从复杂性科学的辩证思维角度分析该模型的构建原则;最后在静态模型的基础上构建基于社会化标注系统的个性化信息推荐的动态模型,静态模型主要描述社会化标注系统中个性化信息推荐的机制,分析推荐模型的结构特征,研究构成推荐模型的要素之间的联系;动态模型主要描述个性化信息推荐的过程和行为,分析构成推荐模型的要素之间的动态变化,为进一步研究个性化信息推荐提供理论和实践方面的指导。This paper firstly analyses the personalized information recommendation model based on social tagging system,and points out that social tagging system includes six basic elements; secondly analyses the model＇s construction principle from the view of the dialectical thinking of complexity science; finally builds the dynamic model of personalized information recommendation in social tagging system based on the static＇s basis. The static model is mainly describe the mechanisms of personalized information recommendation of the social tagging system, showing the recommended model of the structure characteristics and the relationship between the elements of a recommended model;the dynamic model describes the process and the behavior of the personalized information recommendation, and analyses the dynamic change between the elements of the recommended model, in order to further provide the guidance on the theory and practice of the personalized information recommendation.

关 键 词：个性化信息推荐 社会化标注系统 静态模型 动态模型 

分 类 号：G254.9[文化科学—图书馆学]