International Journal of Engineering Research and Applications (IJERA)
On World Wide Web various kind of content are generated in huge amount, so to give relevant result to user web recommendation become important part of web application. On web different kind of web recommendation are made available to user every day that includes image, video, audio, query suggestion and web page. In this paper, the authors are aiming at providing framework for web page recommendation. First they describe the basics of web mining, types of web mining. Details of each web mining technique. They propose the architecture for the personalized web page recommendation.