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DOI:
Journal of Software:1999.10(11):1142-1147

基于客户行为模式的Web文档预送
朱培栋,卢锡城,周兴铭
(国防科学技术大学计算机学院,长沙,410073)
Web Document Presending Based on User Behavior Patterns
ZHU Pei-dong,LU Xi-Cheng,ZHOU Xing-ming
()
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Received:July 14, 1998    Revised:December 07, 1998
> 中文摘要: 预送作为主动cache,是cache机制由时间局部性向空间局部性的拓展.文章提出服务器主动预送的两种模式.基于单个URL的模式利用客户请求的马尔可夫链特征获取文档的时序相关模型,可进行多级预送.基于会话的模式包括基于文档属性和会话整体语义的途径,重点研究基于文档属性的途径,给出基本的聚集算法,探讨了文档兴趣的定量表达,提出反映访问时序的属性向量距离算法.对于预送性能的度量,给出请求命中率、会话命中率、预送效率和预送代价等度量方法.同时,完成大量实验,对客户行为分析的这两种模式进行比较.文章提出的由服务器访
Abstract: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.
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基金项目:本文研究得到国家863高科技项目基金资助. 本文研究得到国家863高科技项目基金资助.
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朱培栋,卢锡城,周兴铭.基于客户行为模式的Web文档预送.软件学报,1999,10(11):1142-1147

ZHU Pei-dong,LU Xi-Cheng,ZHOU Xing-ming.Web Document Presending Based on User Behavior Patterns.Journal of Software,1999,10(11):1142-1147