摘要
推荐技术作为解决情报过载的重要手段,已成为军事情报服务领域的研究重点之一,亟需根据现有研究成果进行总结综述,以期更好地服务于军事情报处理与利用。首先介绍推荐技术的军事应用背景、研究意义,其次,介绍推荐技术的一般框架,并对推荐技术的核心--推荐算法进行了重点综述,分析各类算法的优缺点,以及针对推荐算法应用于军事领域存在的问题给出解决方法;最后根据军事情报其应用特点,提出军事情报推荐技术未来可能研究的热点与方向,从而为后期研究提供依据与参考。
Recommendation technology is an important mean to solve the intelligence overload problem,and it has become a research focus and key point in the field of military intelligence services.To better serve military intelligence processing and utilization,it is urgent to summarize the existing research materials and information.Firstly,the military application background and research significance and the general framework of the recommended technology are introduced,and then the core of the recommendation algorithm focused on,and the merits and demerits of various algorithms presented.Some solutions are addressed to the problem in the recommendation algorithm applicable to the military field.According to the characteristics of military intelligence application,the hotspots and directions of military intelligence recommendation technology in the future are proposed,which provides a basis and reference for the future research.
作者
黄志良
申远
胡彪
王适之
HUANG Zhi-liang;SHEN Yuan;HU Biao;WANG Shi-zhi(Air Force Early Warning Academy,Wuhan 430019,China)
出处
《科学技术与工程》
北大核心
2020年第15期5900-5909,共10页
Science Technology and Engineering
关键词
军事情报
推荐技术
推荐算法
情报过载
military intelligence
recommendation technology
recommendation algorithm
intelligence overload
