摘要
以图数据库的音乐推荐为基础,采用不同的协同过滤方法对数据和算法作出选择.这是一种通过用户进行自我选择的项目,可以根据相关用户的选择对目标用户进行推荐.通过在不同的数据上进行试验分析得出相应的结果.
In this paper, we made the choice based on graph database of music recommendation by using different methods of data filtering and collaborative algorithm. And this is a project of self selection through the users, and the target users can be recommended according to the selection of the relevant users, then the corresponding results are obtained by experimental analysis on different data.
出处
《甘肃高师学报》
2017年第12期38-42,共5页
Journal of Gansu Normal Colleges
关键词
协同过滤
图数据库
最近邻相似度
推荐算法
collaborative filtering
graph database
nearest neighbor similarity
recommendation algorithm
