摘要
从用户的浏览行为可以反映用户的兴趣出发,分析了用户的浏览行为与兴趣之间的关系,通过分析把能反映用户兴趣的典型浏览行为归纳为保存页面、打印页面、将页面加入收藏夹、复制页面内容、访问同一页面的次数和在页面上浏览时间这些浏览行为。针对这些浏览行为下的用户兴趣度计算做出阐述,并且在分析基于网页驻留时间和浏览次数计算网页兴趣度的算法的基础上,考虑网页大小的影响因素,使用基于浏览速度计算网页兴趣度,同时利用BP神经网络进行用户兴趣度融合。
From the users＇ browsing behavior reflected in the interest of users, the users~ browsing behavior and the relationship between interest are analyzed. Through the analysis of interest to reflect the typical User browsing behavior on the following grounds： save page, print page, add to favorites page, copy page content, the same page browsing times and page browsing time. Based on these acts of users＇ browsing behaviors calculating the user interest degree, because page interest degree based on page browsing time and page browsing times do not consider the size of page, the page interest degree based on page browsing speed is computed, at the same time, using BP neural network, user interests degree convergence is finished.
出处
《计算机工程与设计》
CSCD
北大核心
2012年第3期968-972,共5页
Computer Engineering and Design
基金
陕西省自然科学基础研究计划基金项目(2010JM8029)
陕西省教育厅科学研究计划基金项目(2010JK554)
关键词
用户浏览行为
用户兴趣度
浏览速度
网页兴趣度
用户兴趣度计算
users＇ browsing behaviors user interest degree browsing speed is computed web interest degree user interestdegree for calculating
