Case-based reasoning

From RecSysWiki
Jump to navigation Jump to search

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.

External links