基于信息需求的自动推荐算法与仿真  

Algorithm and simulation of automatic recommendation based on information requirements

作　　者：蔡理金 张锋军 卢迅 CAI Lijin;ZHANG Fengjun;LU Xun(Academy of Information Communication,National Defense Science and Technology,Wuhan 430010,China)

机构地区：[1]国防科技大学信息通信学院,湖北武汉430010

出　　处：《指挥控制与仿真》2024年第6期117-121,共5页Command Control & Simulation

摘　　要：信息获取是指挥决策的前提。在充斥着海量信息的大数据时代,高价值信息淹没于海量信息之中,如何高效获取指挥人员所需的有用信息,成为提升作战指挥效能的关键。运用基于信息需求的信息自动推荐算法,依据指挥人员提出的信息需求,通过对信息文本的向量化处理,基于文本相似性比较提取有用信息并向指挥人员自动推荐,可有效提高信息获取的时效性,提升指挥决策及时性和科学性。Information acquisition is the prerequisite for command decision-making.In the era of big data filled with massive information,the useful information is submerged in useless information.How to efficiently obtain the useful information needed by command personnel is the key to improve operational command effectiveness.The author uses the information automatic recommendation algorithm,on the basis of the information requirements proposed by the commander,extracts the useful information and automatically recommends to commander based on the text similarity.It can effectively improve the timeliness of information acquisition and command decision-making,and thus improve the effectiveness of combat command.

关 键 词：信息需求 信息采集 自动推荐 指挥决策 

分 类 号：E911[军事] TP391[自动化与计算机技术—计算机应用技术]