Abstract—Web mining is the application of the data mining which is useful to extract the knowledge. Web mining has been explored to different techniques have been proposed for the variety of the application. Most research on Web mining has been from a ‘data- centric’ or information based point of view. Web usage mining, Web structure mining and Web content mining are the types of Web mining. Web usage mining is used to mining the data from the web server log files. Web Personalization is one of the areas of the Web usage mining that can be defined as delivery of content tailored to a particular user or as personalization requires implicitly or explicitly collecting visitor information and leveraging that knowledge in your content delivery framework to manipulate what information you present to your users and how you present it. In this paper, we have focused on various Web personalization categories and their research issues.
Index Terms—Web mining, web usage mining, web personalization.
Pooja Mehtaa, Brinda Parekh, Kirit Modi, and Paresh Solanki are with Department of Information Technology, U. V. Patel College of Engineering, Gujarat, India (e-mail: poojamehta810@gmail.com, brin.prkh@gmail.com).
Cite: Pooja Mehtaa, Brinda Parekh, Kirit Modi, and Paresh Solanki, "Web Personalization Using Web Mining: Concept and Research Issue," International Journal of Information and Education Technology vol. 2, no. 5, pp. 510-512, 2012.