探究军事信息服务的智能推荐技术

Exploration on Intelligent Recommendation Technology of Military Affair Information Services

在信息技术迅猛发展的时代背景下,海量信息资源随之而来,为了进一步提升军事信息获取的精准性,提升服务质量。需要结合当前的技术水平,考虑可行性解决办法。因此,本文从用户建模技术、对象建模技术和推荐算法方面做出了详细的分析与探究,对技术的可行性展开了研究,提出了全新的军事文本信息智能推荐技术。最后,以某国军事文本内容推荐为例,构建了军事用户角色的特征层次模型,实现了情报信息的智能推荐。

Under the era background of the rapid development of information technology,massive information resources emerge,in order to further improve the accuracy of military affair information acquisition and improve the quality of service,it is necessary to combine the current technical level and consider feasible solutions.Therefore,this article conducts a detailed analysis and research on user modeling technology,object modeling technology and recommendation algorithm,researches the feasibility of the technology,and proposes a new intelligent recommendation technology for military affair text information.Finally,taking a country’s military text content recommendation as an example,a characteristic hierarchical model of military user roles is constructed to realize intelligent recommendation of information.