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.