Web Usage Mining by Using Semantic Information

To this aim, we developed a pattern generation is an offline process, however, especially in a recommender function. Recommendation generation is an online method whose time efficiency is a key factor for the success of the recommender system. The quality of the generated patterns is measured through an evaluation mechanism involving Web page recommendation. Experimental results shows that this problem is finding techniques for setting a threshold and tapering down the recommendation set.
The main goal of Web Usage Mining is to study the users' navigation patterns and their use of web resources. Web Usage Mining is the primary focus of this project and we will learn more about the different stages involved in this mining process and conclude this project report with the consequences and analysis of the experiment carried out on the web access logs.