The World Wide Web is a great source of products and services available to people. Scientists have made a huge effort to create effective strategies to personalize those products/services for anyone willing to use them. The personalization may be provided by Recommender Systems which are able to match people's preferences to specific products or services. Scientists from different research areas such as Psychology, Neurology and Affective Computing agree that human reasoning and decision-making are hardly ever affected by psychological aspects. Thus, to maintain the same level of personalized service provided by humans, computers should also "reason", taking into account users' psychological 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 of Personality Traits in Recommender Systems might be coherent and effective for the improvement of the recommendations for users and, therefore, act proactively towards users' needs, offering more adaptable products and services according to their future needs.
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The World Wide Web is a great source of products and services available to people. Scientists have made a huge effort to create effective strategies to personalize those products/services for anyone willing to use them. The personalization may be provided by Recommender Systems which are able to match people's preferences to specific products or services. Scientists from different research areas such as Psychology, Neurology and Affective Computing agree that human reasoning and decision-making are hardly ever affected by psychological aspects. Thus, to maintain the same level of personalized service provided by humans, computers should also "reason", taking into account users' psychological 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 of Personality Traits in Recommender Systems might be coherent and effective for the improvement of the recommendations for users and, therefore, act proactively towards users' needs, offering more adaptable products and services according to their future needs.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Silveira Netto Nunes Maria AugustaSince finishing my undergraduate studies my chosen research areanhave been Artificial Intelligence. In MSc(UFRGS), my research wasnfocused on Cognitive Agents to improve human-computerninteractions. . N° de réf. du vendeur 4963730
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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. N° de réf. du vendeur 9783639169768
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