International Journal of Applied Engineering Research ISSN 0973-4562 Volume 9, Number 19 (2014) pp. 5561-5568 © Research India Publications http://www.ripublication.com Customized WEB Surfing of Large Application Specific WEB Sites J.K.R. Sastry #1 , M. Devi Kavya Priya #2 , S. Pavani Snigdha #3 , J. Sasi Bhanu #4 # Computer Science and Engineering Department, KL University Vaddeswaram, Guntur district 522502, India 1 drsastry@kluniversity.in 2 munnangidevi@gmail.com 3 pavanisunkara23@gmail.com 4 sasibhanu@kluniversity.in Abstract WEB sites that make available the URLS which are frequently and usually accessed by the users for immediate access without the need for frequent navigation backward and forward is most importantly required. The usage of such type of web sites will be phenomenally very high. WEB logs provide a good source to determine the pattern of navigation that different users adapt for surfing. Many techniques exist in the literature that uses the concept of clustering through usage of one of the available clustering algorithms. All of them suffer from huge amount of time that it requires to generate the clusters and also none have recommended a method of customizing the user interface that render the frequently required URL links right in the HOME page of large WEB sites. This paper presents a method that helps quickly recognizing the frequently navigated URLS with the help of the first elementary level of click rendered by the user. The method is simple, fast and stands the proof of concept. The method has been applied on to large web site and it has been proved that it is efficient when compared other methods presented in the literature. Keyword- Customized Surfing, Navigational patterns, surfing based on user behaviour, WEB log, WEB Navigation, WEB usage. INTRODUCTION Web users will generally look for frequently visited WEB pages without the need for comprehensively navigating the large application specific WEB sites. In third world countries this is more so required due to limitation on the availability of bandwidths. Capturing and using the user behaviour becomes more pertinent to make available frequently required WEB pages.