基于语义扩展的个性化知识推荐技术研究

本文在分析用户文档和文献个性化推荐特点的基础上,提出了一个基于语义扩展的个性化推荐方法。试验结果表明,采用本方法在提高用户满意度上明显优于传统的基于关键词的方法。

Based on the analysis of the user profile and the characteristics of personalized document recommendation, this paper proposes a personalized recommendation method based on semantic expansion. The experimental results show that the proposed method is evidently better than the traditional keyword-based method in increasing user satisfaction.