基于计算机深度学习的个性化资源推荐算法研究

Personalized Resource Recommendation Algorithm Based on Computer Deep Learning

计算机的个性化推荐算法是从海量的资源中找出用户可能感兴趣的资源进行个性化推荐,用来增加用户的个性化体验感。通过描述对比不同的推荐算法最终利用序列模型与深度学习循环神经网络结合来研究个性化资源推荐模型。

The personalized recommendation algorithm of computer is used to find out the resources that users may be interested in from a large amount of resources for personalized recommendation,which is used to increase the sense of personalized experience of users.By describing and comparing different recommendation algorithms finally a combination of sequence model and deep learning recurrent neural network is used to study the personalized resource recommendation model.