推荐系统研究

随着互联网的高速发展,数据呈指数级增长,这使得用户需要花费大量时间找到对自己有用的资源。推荐系统能够帮助用户从海量数据中找到需要的资源,因此,该文对推荐系统进行研究。首先,描述目前常用的传统推荐算法,在此基础上,阐述3种基于深度学习的推荐模型,最后,总结全文并描述下一步研究方向。

With the rapid development of the Internet,the data is growing exponentially,which makes users need to spend a lot of time to find useful resources for themselves.The recommendation system can help users find the resources they need from the massive data.Therefore,the recommendation system is studied in this paper.First of all,this paper describes the traditional recommendation algorithms commonly used at present,and on this basis,expounds three recommendation models based on deep learning.Finally,it summarizes the full text and describes the next research direction.