推荐系统发展现状及相关军事应用展望

针对推荐系统在军事领域的应用，对推荐系统及现有的推荐算法进行研讨。根据阅读相关文献，结合智 能化技术的发展，将推荐算法分为：基于内容、基于协同过滤、混合、基于深度学习和基于知识图谱的推荐，分别 进行解释与分析，总结出不同推荐算法的特点和优劣性，并在情报产品分发、作战方案生成、装备体系建设3 个军 事领域进行展望与设想。结果表明，推荐系统是应对信息化、智能化战争的一个很有价值的发展方向。

Development Status of Recommender System and Prospect of Related Military Application

Aiming at the application of recommender system in the military field, the recommender system and the existing recommendation algorithm are discussed. According to the reading of relevant literature, combined with the development of intelligent technology, the recommendation algorithm is divided into: content-based, collaborative filtering, hybrid, deep learning and knowledge mapping recommendation, which are explained and analyzed respectively, and the characteristics, advantages and disadvantages of different recommendation algorithms are summarized. The prospects and assumptions are made in three military fields, namely, the distribution of intelligence products, the generation of operational schemes and the construction of equipment systems. The results show that the recommendation system is a valuable development direction to deal with the information and intelligent war.