Personalized advertisement system based on computational intelligence

Abstract

A software company develops an online socialization platform where users interact with others at virtual environments. The company's income is from the advertisements displayed at these virtual environments. They are willing to develop a personalized advertisement system in order to increase their revenues. In this paper, a two phased methodology framework is presented. The first phase is based on computational intelligence and matches the viewers' profiles to the requirements specified by the advertisers. The second phase identifies the appropriate advertisement that will be displayed to the user when in the range of an advertisement location based on an index.