摘要
由于航天型号项目WBS模板应用过程中存在经验依赖性强、效率低下等问题,文章分析了当前主流推荐算法在型号项目WBS模板智能推荐中存在的问题,结合航天型号项目WBS模板的具体应用场景,研究了历史型号项目对WBS模板的操作行为(全部应用、部分应用、收藏、查看、未操作等)、属性偏好(类型、名称、部门、应用范围、其他等),提出了基于型号项目的协同过滤推荐方法,寻找与当前型号项目偏好相似的"型号项目群",为当前型号推荐合适的WBS模板.
Abstract
Due to the problems of strong dependency on experience and low efficiency on WBS template application process of aerospace model project,this paper analyses the problems existing in the WBS template intelligent recommendation for model project of the current mainstream recommendation algorithms.Combining the specific application scenarios of WBS templates for aerospace model project,this paper studies the operation behaviors(full application,partial application,bookmark,view,no operation,and so on),attribute preferences(type,name,department,application range,and so on),proposes a Collaborative Filtering recommendation method based on model project,and searches"model project groups"with similar preferences to the current model project,so as to recommend suitable WBS templates for the current model.
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