Recommender Systems based on Personality Traits

ISBN-13: 9783639169768 / Angielski / Miękka / 2009 / 148 str.

Silveira Netto Nunes

Opis

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 peoples 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 userspsychological aspects.Nevertheless, the psychological aspects have,unfortunately, 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.

O autorze

Since finishing my undergraduate studies my chosen research area
have been Artificial Intelligence. In MSc(UFRGS), my research was
focused on Cognitive Agents to improve human-computer
interactions. From 2003(PhD-UM2), I focused, mainly, in
personalization of Recommender Systems considering Psychological
aspects, such as Personality and Emotions.