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 t...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.展开更多
基金Acknowledgements： This work is supported in part by the National Natural Science Foundation of China （No. 60503020）, the Natural Science Research Plan for Jiangsu High School （No 05KJD520151）, and 0pening Foundation of Jiangsu Key Laboratory of Computer Information Processing Technology in Soochow University, Guangxi Natural Science Foundation of China （No. 0542036）.
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)+1 种基金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)
文摘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.
