基于用户访问路径分析的页面推荐模型  

Web page recommendation model based on analyzing user access pattern

作　　者：王志松[1] 段历历[2] 

机构地区：[1]燕山大学机械工程学院,河北秦皇岛066004 [2]秦皇岛港务集团有限公司第六港务公司,河北秦皇岛066001

出　　处：《燕山大学学报》2007年第1期69-73,共5页Journal of Yanshan University

摘　　要：提出一种新的基于用户访问路径分析的页面推荐模型。该模型采用在线处理方式,利用增量图划分方法形成页面聚类,依此生成动态页面推荐。模型以Apache模型的形式实现,可适用于大型商业网站以及内容更新频繁的网站。试验结果表明,该模型具有较好的整体性能。In this paper, a new web recommendation model is proposed, which is based on analyzing user acess pattern. The page clusters can be created online by means of a incremental graph partition algorithm, and suggestions can be generated dynamically to page in this model. The model is implemented as a module of the Apache web server, and it is able to manage large web sites that is updated frequently. Experimental results show that this model has better general performance.

关 键 词：页面推荐 增量划分图 Apache模块 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]