Case-based reasoning

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Case-nased reasoning (CBR) is a sub-field of artificial intelligence that works on learning from past experience (similar cases). Collaborative filtering and content-based filtering methods that rely on similarity measures, e.g. kNN, can be viewed as CBR methods.

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