Instance-Based Learning is an AI approach where models make predictions based on similarity to previously seen examples. Instead of generalising from a predefined set of rules, Instance-Based Learning examines specific instances and their characteristics. This approach is effective in tasks such as pattern recognition and recommendation systems.
Recommender Systems are AI systems that provide personalised recommendations to users based on their preferences and previous behaviour. These systems analyse large amounts of…