摘要
提出了页面兴趣度的概念,并把它用一个三元组(页面的访问时间,页面的大小,页面访问次数)表示。这个概念准确地反映了用户对页面的访问情况。在此基础上建立了以引用网页URL为行、浏览网页URL为列,页面兴趣度为元素值的网站访问矩阵。通过对该矩阵计算得到用户浏览偏爱路径。实验表明该算法能准确地反映用户浏览兴趣。
Page interest is presented, it is expressed by a triple group with accessing time, size of page and time. And it reflects user＇s accessing way exactly. Based on it, a URL-URL matrix where uses URL as rows, navigating URL as columns and page interest as matrix elements is built. Preferred browsing paths could be discovered from the computation of this matrix. Experiments showed that it was accurate.
出处
《计算机应用与软件》
CSCD
北大核心
2007年第2期143-144,150,共3页
Computer Applications and Software
基金
陕西省自然科学基金项目(编号:2006F50)。
关键词
浏览偏爱路径
支持偏爱度
页面兴趣度
Preferred browsing paths Support-preference Page average interest
