International Journal of Current Trends in Engineering & Technology ISSN: 2395-3152 Volume: 02, Issue: 02 (MAR-APR, 2016) 259 A Detail Survey of Page Re-Ranking Various Web Features and Techniques Vipin Kumar Jain 1 , Prof. Gaurav Soni 2 , Prof. Rajesh Nigam 3 Computer Science & Engineering Department Technocrats Institute of Technology & Science, Bhopal, India 1 er.vipinjain@gmail.com, 2 gauravsoni.rits@gmail.com, 3 rajeshrewa37@gmail.com Abstract— as the internet market is growing a lot, so fast response sites are highly desirable. In order to reduce this latency time website page re-ranking is one of demanding research area. In order to understand the user behavior website data need to be update regularly with proper study. This paper has introduced various required features of web mining with techniques for ranking the pages as per user interest. Here techniques explained in paper are multi-damping, markov, stochastic matrix, etc. Keywords— Information Retrieval, Page Re-ranking, web mining. I. INTRODUCTION A day by day increase use of the internet Importance of the web world is high, so large amount of work is done on net for the transparency and quick. As the importance introduce load in the sites for work and with limited sources one has to manage things in available resource. So other way of optimizing sites is to learn the user behavior pattern for presenting the next page on the other side of the server that is client end. The web is an important source of information retrieval now-days, and the users accessing the web are from different backgrounds. The usage information about users is recorded in web logs. Analyzing web log files to extract useful patterns is called web usage mining. Web usage mining approaches include clustering, association rule mining, sequential pattern mining etc., to facilitate web page access by users, web recommendation model is needed. So the Interest in the analysis of user behavior on the Web has been increasing rapidly. This increase stems from the realization that added value for Web site visitors are not gained merely through larger quantities of data on a site but through easier access to the required information at the right time and in the most suitable form. Web Usage Mining Procedure: The first activity involved in the web usage mining procedure is preprocessing in the web log files. The second activity is mining algorithm which used is to find out the pattern, whereas the final activity is analyzing the pattern which is mined by mining algorithm. The detailed processing of web usage mining procedure is shown the figure2 as follows [2] [12] [14]: users’ timestamp and the session period is accumulated from web log data and recognized through preprocessing process. Mining algorithm is a method to find out the rules and patterns from the sequence pattern, for example, association rule, clustering algorithm, and sequential pattern analysis. Fig. 1 Different stages of web pattern mining. There are has been tremendous amount of works which has been carried out on the IR, Database, Intelligent Agents and Topology, which gives the base for the Web content mining and Web structure mining. Web usage mining is a new area of interest and has gained lot of popularity in current time. Detailed information about usage mining would be provided in the next section on the basis of some up-to-date research works. Web usage mining includes the automated discovery