基于TF-IDF分类算法的电磁态势情报分发  

Electromagnetic situation intelligence distribution based on TF-IDF classifier

作　　者：张明阳 刘盼盼 文申平 Zhang Mingyang;Liu Panpan;Wen Shenping(Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,Sichuan,China;Unit 91878 of PLA,Zhanjiang 524000,Guangdong,China)

机构地区：[1]电子信息控制重点实验室,四川成都610036 [2]中国人民解放军91878部队,广东湛江524000

出　　处：《航天电子对抗》2022年第4期31-35,共5页Aerospace Electronic Warfare

摘　　要：为了提高电磁态势情报分发的灵活性,提出利用个性化推荐技术进行电磁态势情报分发。根据电磁态势情报用户兴趣多样性特点和电磁态势情报的格式化特征,对情报用户兴趣的类别进行划分,并设计层次向量空间模型。在此基础上利用情报用户的历史情报信息和定制信息,运用TF-IDF算法挖掘用户兴趣,建立用户兴趣模型,通过电磁态势情报与用户兴趣模型的匹配完成情报推荐。仿真实验结果表明,该算法能够较好地实现电磁态势情报分发,满足情报分发灵活性要求。To improve the flexibility of electromagnetic situation intelligence distribution,the technology of filtering the users’interests based on the personalized recommending techniques is proposed.Because of the diversity of users’interests and the special format of electromagnetic situation intelligence,the users’interests are divided into several sorts,and then the hierarchical vector space model is designed.Based on these,historical information and registered data are utilized for TF-IDF classifier to mine the users’interests,and the user interest model is built.Intelligence recommendation is completed by matching electromagnetic situation intelligence with user interest model.The simulation results show that this algorithm can realize electromagnetic situation intelligence distribution and meet the flexibility requirements.

关 键 词：电磁态势情报分发 个性化推荐 层次向量空间模型 词频-逆文档频率 

分 类 号：TN97[电子电信—信号与信息处理]