Web page pre-fetching techniques are used to address the access latency problem of the Internet. In order to perform successful pre-fetching, a page ranking model is required pre-compute the next set of pages that are likely to be accessed by users. The PageRank algorithm is used to compute the importance of a set of Web pages based on their link structure, number of hit, time and area or location based. Some factors are adopted to personalize PageRank, so that it favors the pages that are more important to users. This research wok presents an improved PageRank algorithm that computes the PageRank values of the Web pages more precisely based on time and location based analysis. © 2014 IEEE.