Continuous time Markov chain based website navigability measure  

作　　者：ZHANG Wei-feng LIU Xia ZHANG Ying-zhou ZHOU Guo-qiang 

机构地区：[1]State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072, China [2]School of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

出　　处：《The Journal of China Universities of Posts and Telecommunications》2011年第2期45-52,共8页中国邮电高校学报（英文版）

基　　金：supported by the National Natural Science Foundation of China (60873050,60973046,61003040);the Opening Foundation of Jiangsu Key Laboratory of Computer Information Processing Technology in Soochow University (KJS0714);the Opening Foundation of State Key Laboratory of Software Engineering, Wuhan University (BJ211002);The Natural Science Foundation of the Jiangsu Higher Education Institutions of China (09KJB520012)

摘　　要：Website navigability is acquiring a growing importance in website design and redesign,quality evaluation,and improvement.Existing navigability measures mainly depend on site link structure,so that they only consider the impact of site link structure for navigability and ignore the impact of Web page content.A continuous Markov chain model which depicts the user＇s surfing behavior can balance these two factors in the evaluation of website navigability,and it needs to estimate the page transition probabilities and user stay time according to user access log.In this way,we can obtain more reliable results for website navigability measure than the existed methods.Experiments show that our method is effective.Website navigability is acquiring a growing importance in website design and redesign,quality evaluation,and improvement.Existing navigability measures mainly depend on site link structure,so that they only consider the impact of site link structure for navigability and ignore the impact of Web page content.A continuous Markov chain model which depicts the user＇s surfing behavior can balance these two factors in the evaluation of website navigability,and it needs to estimate the page transition probabilities and user stay time according to user access log.In this way,we can obtain more reliable results for website navigability measure than the existed methods.Experiments show that our method is effective.

关 键 词：navigability MEASURE Markov chain 

分 类 号：TP393.092[自动化与计算机技术—计算机应用技术] TP393[自动化与计算机技术—计算机科学与技术]