Web personalization is a powerful tool used for personalizing the Websites. The personalization system aims at suggesting the Web pages to the users based on their navigational patterns. Use of attributes such as time, popularity of Web objects makes the model more efficient. This paper proposes a novel Web personalization model which utilizes time attributes, such as duration of visit, inter-visiting time, burst of visit, and the user's navigational pattern. Test results indicate that the proposed model explores the user's behaviour and their interest.
P. T. Ramya and Dr. Sajeev G. P., “Building Web Personalization System with Time-Driven Web Usage Mining”, in Proceedings of the Third International Symposium on Women in Computing and Informatics, New York, NY, USA, 2015.