摘要
针对现代战场态势情报信息海量、动态和复杂的特点,构建了层次向量空间用户兴趣模型,从而形成基于向量空间用户兴趣模型的态势情报信息分发机制。在该机制中,对于重要度较高的态势情报,利用用户的历史订阅信息和定制信息,通过词频-逆向文件频率(TF-IDF)分类法进行分析和个性化推荐,以完成主动按需分发。针对订阅者的普通订阅要求,则采用梯形匹配法,进行信息需求与信息供给之间的匹配。试验结果表明,该机制能提高态势情报信息分发效率,满足战场系统灵活性与适应性的要求。
Aimed at the characteristics of vast,dynamic and complicated situation intelligence information in modern battlefield,the hierarchical user interest vector space model is established.Therefore,the information distribution mechanism of situation intelligence based on the model is formed.In the mechanism,historical information and customized data are utilized and important situation intelligences are analyzed and recommended with individuation by TF-IDF classifier for completing dissemination on-demand.Considering the common request of subscription,a trapezoid matching algorithm is introduced to make a match between subscribers and publishers.Experimental results show that the mechanism can improve information distribution efficiency of situation intelligence and meet requirements of the flexibility and the adaptability in battlefield systems.
出处
《指挥信息系统与技术》
2015年第6期90-95,共6页
Command Information System and Technology
关键词
信息分发
发布订阅
向量空间用户兴趣模型
information distribution
publish/subscribe
user interest vector space model
