摘要
随着时间和环境的改变,Web用户的兴趣也会随之改变,在信息服务中应该能捕获到用户的这种近期兴趣变化以便能为用户提供更好的个性化服务。对现在描述网页的特征片技术中的关键词权重的计算做了改进以更加准确地描述网页,给出了利用行为分析得到网页兴趣度的方法,进而给出了根据某领域的标准分类树形成网页分类树,并最终生成能准确表示用户近期兴趣的兴趣视图的新方法。以此进行个性化推荐也更加有效。
The interest of web user would be influenced along with time going and surrounding changing,which should be captured in the information in order to supply better personalization. For the sake of final getting user current interest view well and truly, the calculation methods of weight is improved for more accurate characterization of web page, and the interest measurement of web page is obtained through the analysis of user browsing behavior, and then the web page classification tree is formed according to the standard category tree. Therefore the commendation for personalization is more efficient by the methods.
出处
《计算机工程与设计》
CSCD
北大核心
2005年第4期951-954,共4页
Computer Engineering and Design
基金
重庆大学骨干教师计划基金项目(2003A33)
关键词
个性化服务
词语权重
信息量
行为分析
回归分析
用户近期兴趣视图
网页
personalization
term-weighing
information quantity
analysis ofuser behavior
regressive analysis
usercurrentinterestview
