User Profile and Multi-criteria Decision Making: Personalization of Traveller's Information in Public Transportation

Personalization plays 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 systems. The proposed approach has been validated by applying it to personalize a system in intelligent transport field.