A multi-criteria decision making approach for personalization itineraries in intelligent transport systems

Personalization has an important role in information systems. It is an effective solution for reducing complexity when searching information. In this way, the user feels like the system was developed for him/her. In this context, personalization can be seen as an optimization problem. To this end, we propose a multi-criteria decision making approach to personalize system. The proposed approach has been validated by applying it to personalize a system in intelligent transport field.