摘要
通过研究移动用户的访问行为特点,给出了情景和用户兴趣度的定义,提出了一种基于情景结合用户兴趣度的移动Web预取算法。依据Web日志数据计算移动用户在不同情景下的兴趣度,建立移动用户的情景相似度矩阵和兴趣度矩阵,通过这两个矩阵预取移动用户最感兴趣的N个页面同时计算预取的准确率。采用实例介绍了该算法的具体过程,验证了其有效性。
By studying the features of mobile user behavior,the definition of context and user interest degree was given and a prefetching algorithm based on context and user interest degree was proposed.In this algorithm,the user interest degree in dif-ferent context was calculated to build context similarity and interest matrix according to Web log data.Then the Top-N pages which mobile user were most interested in were prefetched and the prefetching precision was calculated.Finally,the algorithm was illustrated with a specific example.
出处
《计算机工程与设计》
CSCD
北大核心
2014年第7期2380-2383,2411,共5页
Computer Engineering and Design
基金
北京市自然科学基金项目(9122018)
北京市教委科学研究基金项目(KM1010028020
KM201110028019)
关键词
预取技术
兴趣度
情景
相似度矩阵
兴趣度矩阵
prefctching technology
interest degree
context
similarity matrix
interest degree matrix
