%0 Journal Article
%T Web Document Presending Based on User Behavior Patterns<br>基于客户行为模式的Web文档预送
%A ZHU Pei-dong
%A LU Xi-Cheng
%A ZHOU Xing-ming
%A <br>朱培栋
%A 卢锡城
%A 周兴铭
%J 软件学报
%D 1999
%I 
%X Presending is an active service which extends caching mechanism from temporal locality to spatial locality. Two modes of extracting user behavior patterns are proposed to predict future requests from clients for efficient presending. URL-based mode exploits the Markov-chain features of request series, and can be used for hierarchical presending. Session-based mode captures more semantics, and the authors' work emphasizes the clustering algorithm, feasible document weight definition, and attribute-vector-distance computation representing order of accesses. Their performance is evaluated using appropriate metrics such as request hit rate, session hit rate, presending efficiency and presending cost. Numerous experiments are carried out to compare the two modes. These methods are used for web presending, while they are helpful to web server design and ISP (internet service provider) service planning.
%K WWW responsiveness
%K presending
%K request dependency
%K Markov chain
%K session clustering
%K document attribute
%K presending performance<br>WWW响应性能
%K 预送
%K 请求相关性
%K 马尔可夫链
%K 会话聚集
%K 文档属性
%K 预送性能
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=5611E3A28A17AAF9EB09A8F908C1F8D4&yid=B914830F5B1D1078&vid=F3090AE9B60B7ED1&iid=708DD6B15D2464E8&sid=4442BFF895478018&eid=008520E0B52E94B3&journal_id=1000-9825&journal_name=软件学报&referenced_num=8&reference_num=11