Active Preference Learning with Discrete Choice Data

NeurIPS 2007 Brochu EricNando D. FreitasAbhijeet Ghosh

We propose an active learning algorithm that learns a continuous valuation model from discrete preferences. The algorithm automatically decides what items are best presented to an individual in order to find the item that they value highly in as few trials as possible, and exploits quirks of human psychology to minimize time and cognitive burden... (read more)

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