摘要
首先简要地介绍了WhuRecomm系统开发所基于的协同理论和系统运行的平台,然后重点论述了系统算法的实现流程,该流程主要包括:连接数据库,获得相关记录;根据记录生成矩阵;矩阵规范化(去除稀疏性);进行奇异值分解;计算用户相似度;生成目标用户的邻居集;寻找邻居评价过的记录;形成推荐列表.最后简述了系统使用流程并提出了该系统尚需进一步完善的地方.
The collaborative filtering theory on which the WhuRecomm based and the system＇s operating platform are briefly described; and then the authors focus on the implementation process of the system＇s algorithm including：linking database to obtain the relevant records; generating matrix according to records; standardizing matrix; decomposing singular value; calculating similarity of users; generating target users＇ neighbor set; finding the records neighbors have estimated; forming recommended list. Finally the using processes and the further improvement of the system are simply discussed.
出处
《武汉大学学报（工学版）》
CAS
CSCD
北大核心
2006年第6期39-42,共4页
Engineering Journal of Wuhan University
基金
国家社科基金资助项目(05BTQ022)
