深度学习推荐算法在高校大型仪器开放共享的应用研究

Research on the Application of Deep Learning Recommendation Algorithm in the Open Sharing of Large-scale Instruments in Colleges and Universities

个性化智能推荐既能够有效解决很多初级用户如何在种类繁多的大型仪器中选用合适仪器的问题,也能够及时将空闲仪器资源推荐给需要的用户,为高校大型仪器管理者提供了一个优化仪器资源配置的有效工具。基于北京林业大学大型仪器开放共享数据设计了一种深度学习推荐算法,并通过实验验证具有较好的推荐质量,为智能推荐在高校大型仪器开放共享中的应用提供了一定的借鉴。

Intelligent recommendation can not only effectively solve the problem that many primary users don't know how to re select the spare instrument resources to the users who need them,providing an effective tool for large-scale instrument managers in Colleges and Universities to optimize the allocation of instrument resources.This paper designs a deep learning recommendation algorithm based on the open sharing data of large-scale instrument in Beijing Forestry University.This method is proved to have good recommendation quality by times of experiment,which provides the references for the application of intelligent recommendation in the open sharing of large-scale instruments in colleges and universities.