军事情报智能推荐算法综述

Review of Intelligent Recommendation Algorithm for Military Intelligence

面对现代战场上复杂环境和海量情报信息,综述了军事情报推荐系统中应用的各种推荐算法的研究现状。首先,阐述了目前在军事情报智能推送中应用的协同过滤推荐、基于内容的推荐和组合推荐3种推荐算法,介绍了各个算法的研究思路、算法模型和处理流程,分析了各个算法在军事情报智能推送中存在的问题;然后,探讨了深度学习在该类系统上的多种应用思路和不足;最后,在分析已有研究基础上,对未来的研究趋势进行了展望。

Oriented to the complex environment of the modern battlefield and the massive information,the research status of types of recommendation algorithms applied in the recommendation system for the military intelligence is summarized.Firstly,three kinds of present recommendation algorithms applied in the intelligent push of the military intelligence are expounded,including the collaborative filtering recommendation,the content-based recommendation,and the hybrid recommendation.The research idea,the model of the algorithm and the processing flow of each type of the algorithm are introduced,and the problems of each type of the algorithm in the intelligent push of the military intelligence are analyzed.Then,types of the application ideas and the deficiencies of the deep learning in the systems are discussed.Finally,based on the above analysis on the present research,the future develop trend is expected.