个性化检索系统中用户兴趣模型的研究

摘要

Personalized retrieval service has been an effective method to improve the retrieval's accuracy. This paper focus on the construction of user interest model, and present an approved TFIDF algorithm which is based on the weight of document structure and the interest to web page. Furthermore, an updated algorithm is introduced. Case study shows that the user interest model presented in this paper would improve the catch experience of user interest.%个性化检索服务已成为提高信息检索查准率的有效途径.论文针对用户兴趣模型的构建,在传统TFIDF算法的基础上,提出了一种基于文档结构和网页兴趣权重的TFIDF算法,并给出了用户兴趣模型的更新算法.实例分析表明,基于该文算法的用户兴趣模型能够改善用户兴趣的捕获情况.