论文部分内容阅读
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。
From the perspective of systematic analysis, the personalized information recommendation model based on social annotation system is proposed. The model includes six kinds of basic elements, and then analyzes the construction principles of the model from the perspective of complexity science dialectical thinking. Finally, based on the static model Build a dynamic model of personalized information recommendation based on social annotation system. The static model mainly describes the mechanism of personalized information recommendation in the social annotation system, analyzes the structural features of the recommended model, and studies the connection between the elements that constitute the recommended model. The dynamic model mainly describes the process and behavior of personalized information recommendation, analyzes the dynamic changes among the elements that constitute the recommended model, and provides theoretical and practical guidance for further research on personalized information recommendation.