Description of Invention
User engagement is a part of user experience that measures how attracted the users are in using a certain product or services. The level of user attention while navigating a website is a key factor in determining its effectiveness. Web usage mining can be performed on the weblog of a website to extract user navigational behavior and gain valuable insights into the useful activities of the users. The user navigational behavior can then be further evaluated to measure the user engagement of the website. This paper presents a new framework that uses user navigational behavior extracted from web usage mining to measure the engagement level of the users in the website. In this proposed framework, web session clustering is first performed on the pre-processed weblog to group similar user access patterns from web sessions. Number of clicks and sessions are calculated for each cluster to find out the engagement level of the users in the website. An attention score is formulated to show the attention level of each cluster. In this project, two weblogs from different websites are used to measure their user engagement with the Cluster-N-Engage framework. The framework shows that attention score can be used to assess the website's effectiveness in achieving its objectives.