Web mining is an intensive task which may yield significant insights that may revolutionise business and marketing by using effective information distribution, entertainment and communication techniques. For instance, corporations can optimise their eCommerce Websites to maximize impact and personalise the online content of their Websites. Corporations can use Web mining techniques for better understanding about their customers and thus will gain competitive edge by delivering the right information and services. This paper concentrates on reconstruction of visited session which was recorded in a Web log server. Existing approaches for reconstruction of users' session deal only with the time when a user accesses every page, whereas, in this paper, each visited page is incorporated with a pair of ordered time points, which we call biTemporal. Re-produced sessions can be used latter in different ways such as personalization, sequential pattern discovery, etc.