摘要
利用相对访问率——支持-偏爱度的概念,设计了网站访问矩阵及时间矩阵,并利用这两个矩阵得到用户浏览偏爱路径.实验表明该算法能够准确地反映用户的浏览兴趣,可应用于个性化推荐服务中.
Using concept of relative access rate--support-preference, a website access matrix and a website access time matrix are designed, and the user browsing preference paths are obtained by using the two matrices. Experiment results show that this algorithm can reflect the user browsing interest accurately, thus it can be applied in the personalized recommendation service.
出处
《延边大学学报（自然科学版）》
CAS
2009年第2期164-166,共3页
Journal of Yanbian University（Natural Science Edition）
