航天型号项目WBS模板智能推荐技术研究与应用OA

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.