A novel approach to provide Web page recommendation using domain knowledge and web usage knowledge

As, population increases use of World Wide Web goes on increasing for various purposes. People surfing websites for study purpose, education, entertainment point of view and also access websites for online shopping purpose. But required knowledge capturing is difficult and time consuming which is challenging one. So to overcome this challenge the proposed system gives a novel approach to provide a Web page recommendation. The proposed system consists of three knowledge based models. To improve performance in future key information extraction algorithm is used and comparison takes place between results obtained from applying only three knowledge based models and models along with key information extraction algorithm. Recommendation is given to page from weblog records. Experimental result shows that recommendation for webpage is better by using proposed system than existing system and execution time required for the proposed system is less as compared to existing system and accuracy of proposed system is more than existing system. This can be obtain by using key information extraction algorithm.