A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Communications of the ACM
Affective computing
Affective interactions: towards a new generation of computer interfaces
Affective interactions: towards a new generation of computer interfaces
An interview with Rosalind Picard, author of “Affective Computing”
Affective interactions
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
User Modeling and User-Adapted Interaction
Emotions in Humans and Artifacts
Emotions in Humans and Artifacts
A Hybrid Approach for User Profiling
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 4 - Volume 4
Evaluating adaptive user profiles for news classification
Proceedings of the 9th international conference on Intelligent user interfaces
Social matching: A framework and research agenda
ACM Transactions on Computer-Human Interaction (TOCHI)
A survey of trust and reputation systems for online service provision
Decision Support Systems
Learning Agents and Enhanced Presence for Generation of Services on the Grid
Proceedings of the 2005 conference on Towards the Learning Grid: Advances in Human Learning Services
A user modeling markup language (userML) for ubiquitous computing
UM'03 Proceedings of the 9th international conference on User modeling
The adaptive web
Gumo: the general user model ontology
UM'05 Proceedings of the 10th international conference on User Modeling
A cultural knowledge-based method to support the formation of homophilous online communities
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Towards a psychographic user model from mobile phone usage
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Influence of personality on satisfaction with mobile phone services
ACM Transactions on Computer-Human Interaction (TOCHI)
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Recents studies have demonstrated how useful and fundamental psychological aspects such as people Personality Traits and Emotions are during human decision-making process. Some research towards the identification and model of user's Emotions have been done by Affective Computing researchers, however Personality Traits have been quite neglected. The World Wide Web is an enormous source of products and services available for people. There is a huge effort done by scientists towards the creation of effective strategies to personalize those products/services for each people interested in using them. By storing Personality Traits in User Profiles we intend to enable Recommender Systems in order to deduce more interesting recommendations for users acting proactively to offer them products/services as a consequence of a prediction of their future needs and behaviors. To fill this gap, in this work, we propose the interpretation, modeling, formalization, storing and application of Personality Traits in User Profile, followed by an experimentation developed in the context of Recommender Systems.