Use of ants to learn users’ WEB preferences

Web engineering is becoming more and more important during 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 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 two ways to manage and build adaptative menus. These methods are learning by ants analogies with two smoothing methods, in order to make the program learn and anticipate the customer’s uses. Later on, a comparison of these two 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, “What is my perception of time into and between service consultation” to determine ways to set parameters of such a system.Ministerio de Educación y Ciencia TIN2007-67843-C06_03Ministerio de Educación y Ciencia TIN2007-30391-