摘要
个性化信息服务越来越成为信息检索领域研究的热点。将贝叶斯网络和互信息相结合,用于个性化检索的用户建模中,建立了一个能同时表达特征词的统计分布和特征词间的语义相关性的用户模型。模型以贝叶斯网络结构为框架,包含了特征词的概率统计信息和特征词间互信息,并引入了时间机制。实验结果表明,用该模型进行信息检索,在查全率和查准率方面都得到了提高。
Personal information service is becoming more and more important in information retrieval system. A user model based on Bayesian network and mutual information is built, which could both express terms＇ semantic relations and statistic distributes. Framed on the structure of Bayesian network, the model contained the information of terms＇ probability, mutual information and time mechanism. The model is proved to improve the ratio of correctness and completeness in information retrieval.
出处
《计算机工程与设计》
CSCD
北大核心
2008年第5期1057-1060,共4页
Computer Engineering and Design
关键词
个性化
贝叶斯网络
互信息
用户模型
信息检索
individuation
Bayesian network
mutual information
user model
information retrieval
