Recommender Systems based on Personality Traits

The World Wide Web is a great source of products andservices available to people. Scientists have made ahuge effort to create effective strategies topersonalize those products/services for anyonewilling to use them. The personalization may beprovided by Recommender Systems which are able tomatch people's preferences to specific products orservices.Scientists from different research areas such asPsychology Neurology and Affective Computing agreethat human reasoning and decision-making are hardlyever affected by psychological aspects. Thus tomaintain the same level of personalized serviceprovided by humans computers shouldalso reason taking into account users'psychological aspects.Nevertheless the psychological aspects haveunfortunately not been highly applied in Recommender Systems during their decision-making process.In this work we discuss the evidences that the use ofPersonality Traitsin Recommender Systems might be coherent andeffective for the improvement of the recommendationsfor users and therefore act proactively towardsusers' needs offering more adaptable products andservices according to their future needs.