为了提高数字图书馆信息服务的能力,描述了一个基于本体的用户浏览和搜索个性化推荐系统框架.该框架将本体的优点应用于检索周期中,包括提问相关测度、语义化的用户兴趣表达和自动更新、以及个性化的检索结果排序等.在用户访问数字图书馆的交互过程中,可通过本体来构造用户提问和文档内容的匹配机制以实现语义化的内容检索,并可进一步使用本体来构造用户兴趣偏好的概念向量以实现面向用户的个性化推荐反馈. In order to improve the ability of digital library information service, an ontology-based framework for user browsing and searching personalized recommendation system is described.The framework applies the advantages of ontology in the search cycle, including the related measure of questioning, semantic user interest expression and Automatic updating, sorting of personalized search results, etc. In the process of user’s access to the digital library, the ontology can be used to construct a matching mechanism between user’s question and document content to achieve semantic content retrieval and further use ontology Construct a concept vector of user interest preferences to achieve user-oriented personalized recommendation feedback.