Requirements customized recommendation in a decision-making system

Abstract

Decision-making requirements differ from one decisionmaker to another, hence the need to study decision-making requirements personalization. Customization is an effective response to the information overload problem by injecting into queries more restrictive filtering criteria, and by possibly reformulating queries to better take into account the interest centers and the decision maker preferences. The decision maker's preferences are obtained at the end of the exhaustive study of the decision-maker profile and taking into account the decision-maker's status with regard to the requested products. We have decided to improve the existent models by adding to the profile a part mentioning the decision-maker belief, which allows us to elaborate the needs personalization or to pass to the customized recommendation. To develop our proposed solution we chose the sports articles trade as a study domain.