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Personalized and situation-aware multimodal route recommendations: the FAVOUR algorithm
Second, based on this information, a stated preference survey is designed in order to sharpen the profile.
Learning Modulo Theories for preference elicitation in hybrid domains
CLEO iteratively alternates a preference elicitation step, where pairs of candidate solutions are selected based on the current utility model, and a refinement step where the utility is refined by incorporating the feedback received.
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