Name
Abstract | ||
|---|---|---|
Our research focuses on the development of methodologies that take into account the human factor in user models. There is an obvious link between personality traits and user preferences - both being indications of default tendencies in behavior, that can be automated by systems that recommend items to a user. In this work, we define an emotional component for Smart User Models and provide a methodology to build and manage it. The methodology contemplates the acquisition of the emotional component, the use of emotions in a recommendation process and the updating of the Smart User Model according to the recommendation feedback. The methodology is illustrated with a case study. |
Year | Venue | Keywords |
|---|---|---|
2004 | ICEIS (5) | recommender systems,emotions,user modelling.,smart user models,user model,human factors,recommender system |
Field | DocType | Citations |
Recommender system,Big Five personality traits,User experience design,World Wide Web,Computer science,Knowledge management,User modeling,Computer user satisfaction | Conference | 9 |
PageRank | References | Authors |
0.96 | 3 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gustavo González | 1 | 19 | 2.60 |
| Beatriz López | 2 | 114 | 13.76 |
| Josep Lluís De La Rosa | 3 | 260 | 41.38 |