CSEIT172442 | Received : 18 July 2017 | Accepted : 29 July 2017 | July-August-2017 [(2)4: 189-196] International Journal of Scientific Research in Computer Science, Engineering and Information Technology © 2017 IJSRCSEIT | Volume 2 | Issue 4 | ISSN : 2456-3307 189 Efficient Approach for Web Search Personalization in User Behavior Supported Web Server Log Files Using Web Usage Mining A Swapna, K Gurnadha Guptha, K Geetha Department of Computer Science and Engineering, Sri Indu College of Engineering and Technology, JNTU Hyderabad, Hyderabad, India ABSTRACT In the present word web is the colossal capacity of data and it will continue expanding with the developing of web innovations. However, the person ability to peruse, get to and comprehend content does not increment with that string. Henceforth it ends up plainly complex to site proprietors to introduce appropriate data to the clients. This prompted give customized web administrations to clients. One of the notable methodologies in giving web personalization is Web Usage Mining. In this paper, our thought process of web use mining is to find clients' get to examples of site pages naturally and rapidly from the immense server get to log records, for example, often went to hyperlinks, much of the time got to site pages and clients gathering. Likewise, we proposed another strategy for finding clients' get to designs and prescribe it to the client. Keywords : Web Usage mining; Web Intelligence; Web Personalization; log files ;Apriori algorithm; Web Log Cleaning Algorithm; Sessionization Algorithm. I. INTRODUCTION Web personalization is a generally new and troublesome field for web content conveyance. To satisfy desires of guests, clients, and faithful clients, web world is painted to offer astounding redid benefits all through their association with the framework. The effects of personalization and suggestion framework are frequently experienced by the fast prominence that this region has picked up inside the past couple of years. Clients ideally visit those sites that see their requirements, offer them quick esteem included modified administrations and basic access to required information in a basic graspable organization. Web personalization and suggestion framework assume a huge part in meeting this objective. The corporate world looks towards the expansive volume of value-based and cooperation data produced by the web for R&D that encourages the formation of most recent imaginative focused administrations and items [1]. In today's e-business world, the greater part of the primary web-based business players have custom fitted the web personalization and suggestion framework including Yahoo!, Amazon, eBay, Netflix, News Weeder, IBM and a lot of something beyond. The World Wide Web (WWW) is a colossal asset of numerous sorts of data in fluctuated groups which is extremely valuable for the examination of business advance, which is critical at this point days to remain in the opposition of business. Scientists are starting to examine human conduct in this appropriated Web information stockroom and are attempting to construct models for understanding human conduct in virtual situations. Information mining, frequently called Web mining when connected to the Internet, is a procedure of extricating shrouded prescient data and finding significant examples, profiles, and patterns from substantial databases. Web mining is an iterative procedure of finding information and is turned out to be a significant procedure for the understanding purchaser and business movement on the Web. There are three