Weitere Hinweise und Angaben
(Englisch)
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Full name of research-institution/enterprise: EPF Lausanne Human Computer Interaction Group, Faculty of Computer and Communication Sciences IC IIF GR-PU, BC 107
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Partner und Internationale Organisationen
(Englisch)
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AT, BE, CH, CY, DE, DK, ES, FI, FR, GR, HU, IE, IL, ITR, LT, LU, MK, NL, NO, PL, PT, RO, UK
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Abstract
(Englisch)
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Within the framework of this project, we aim at enhancing the theory around preference elicitation and modeling. This requires to better understand users' behaviors, and will lead to a significant improvement in the design of recommender algorithm. In order to reach this goal, we have initiated user studies relying on an explicit and implicit analysis of usage in an e-commerce application. Action logs, questionnaires and the use of an eye-tracking system helps us to identify the steps punctuating the purchase decision-making process. The results of these experiments allow us to develop new kind of recommender algorithms based on personality and temper, and providing diversity. A wine website will be used to validate these new models.
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