Category-based Web personalization system

Abstract

There has been a massive growth in systems on the Internet that can personalize the content delivered to individual users. This paper develops a category-based Web personalization system in which an unconventional system logger, along with a category generator and a customizer, was designed. This system obtains and records more precise information directly from the users' activity and the objects they access. In addition, the system is designed with its own method to match and deliver individual information in which each user might be interested. Analysis and comparisons with related work are addressed in this research.