Preference Learning
Preference learning is a subfield of machine learning and artificial intelligence that deals with the problem of learning from user preferences. It involves developing algorithms and models that can learn from user feedback and make predictions or recommendations based on that feedback. Preference learning is used in a variety of applications, including personalized recommendation systems, search engines, and decision-making systems. The goal of preference learning is to create models that can accurately predict user preferences and provide personalized recommendations or decisions based on those preferences.
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