Three ways to construct adaptative WEB menus using ants

Abstract

Web engineering is becoming more and more important in the last years. The research community has identified the need to offer new methods and methodologies in order to build a good environment to develop web information systems and to offer to the users, menus which are perfectly adapted to their requirements. WEB and audio services have to provide the best possible services. To achieve this goal, they have to anticipate what a customer is the most open to do without altering his privacy. This paper presents three ways to manage and build adaptative menus. These methods are ACO model of Dorigo, learning by antpsilas analogy with two smoothing methods. Later on, a comparison of these three methods will be made based on two criteria: efficiency (answering time and computer load) and accuracy with customer expectation. The final step will be to carry out psychological analysis of user activity, meaning, ldquoWhat is my perception of time into and between service consultationpsila to determine ways to set parameters of such a system.