基于情境相似的知识个性化推荐系统研究

知识情境是知识创造和运用的具体环境和背景,融合知识情境的知识个性化推荐系统是提高知识重用效率和共享特性的重要手段。提出了在知识个性化推荐系统中添加知识情境,使用多层多维度建模方法构建知识情境模型,通过知识情境的相似性评估,将与当前目标情境相似度满足特定值的历史情境所关联的知识推荐给目标用户。实验表明,此方法一定程度上能提高知识个性化推荐的效率。

Personalized knowledge recommendation system based on context similarity

Knowledge context is the specific environment and background of knowledge creation and applications. Personalized knowledge recommendation systems integrated with knowledge contexts are also an important method to improve the reusing efficiency and sharing property of knowledge. In this paper we construct a personalized knowledge recommendation system based on context similarity. We construct a knowledge context model of multiple layers and multiple dimensions, and add knowledge contexts to the personalized knowledge recommendation system. We then calculate the similarity degree of knowledge context models. If the similarity of the current context reaches a specific value, the knowledge which is also relative to historical contexts, is recommended to target users. Experimental results show that the proposed method can improve the efficiency of personalized knowledge recommendation.