摘要
信息检索技术广泛的应用与社会的各个领域,为提高信息检索的普及率和效率,首先,通过对用户检索语言进行结构化,然后,采用扩展的Bayes网络模型,提出一种结构化检索策略,它有效改善了检索的查准率,提高用户的满意度。
Information retrieval technology is widely used in various society fields. in order to enhance the penetration and efficiency of information retrieval .first of all, structured the retrieval language. Then, by expanding the Bayesian network model, propose a new search strategy. It is effective in improving the retrieval precision rate, also improving user satisfaction.
作者
唐坚波
TANG Jian-bo (Shanghai Maritime University Information & Engineering College, Shanghai 200135, China)
出处
《电脑知识与技术(过刊)》
2010年第15期4122-4124,共3页
Computer Knowledge and Technology
关键词
信息检索
结构化
BAYES网络
相关度排序
查准率
information retrieval
structuring
bayesian network
ranking with the degree of relevant
precision rate