Web Usage Pattern Discovery using Contextual Factor: Credibility

Here we present a new technique of pattern discovery technique based on analysis of contextual factors. The approach is based on Web classification algorithm and task classification algorithm. In order to find the discovered pattern, here we present a preprocessing and web page classification technique based on the Cs-Uri-Stem field of log file, in which we classifies the pages index as well as content pages. The result of classified web page via index or content will be used for further task classification algorithm. The task classification will be achieved by connecting cs-uri-stem and cs-uri-query field of log file. The Experimental result shows the cluster of user (session) and their task like casual and careful user. At the end result Analysis of contextual factor search interest and difficulty, credibility, page frequency and browser dependence is observed. Using this approach we can find other contextual factors easily and improve the performance of system. The result of finding is useful for adaptive services as well as site modification of web sites. Main task of this system is observation of the web log file manually and recommendations for the modification of the sites.