A novel multi-criteria decision making approach for personalisation system

Personalised services is a field in rapid development. The aim of such system is to provide the user with relevant information that takes into consideration the context when using the system basing on the user preference learning. Today, these systems are indispensable to those who want to retrieve appropriate information with less effort at any time and anywhere. These systems have been gaining interest in transport field to help users with their travel itineraries. For example, traveller may search for information about itineraries details, make online air‐ticket bookings, online room reservations, etc. Personalisation is an effective solution for reducing complexity when searching information. This article presents a novel multi‐criteria decision making approach for personalisation system which aims to satisfy multiple and contradictory criteria. Finally, we present some experimentation results in the transport field to validate the mentioned approach.