Implementing Nearest-Neighbour Recommendations in Ruby

2023/08/28

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The article introduces the concept of implementing nearest-neighbour recommendations in Ruby. It discusses the use of distance metrics and how they can be applied in nearest-neighbour models and recommendation systems. The author presents algorithms inspired by Toby Segaran's python versions in Collective Intelligence and adapts them to Ruby. The article provides a step-by-step guide on developing a recommendation system using a whimsical dataset of class scores for students at Hogwart's School for Witchcraft and Wizardry. It explains the representation of the data in tabular form and the use of vectors to compare students. The article also discusses finding similar students using distance metrics and the implementation of a Recommender class. This article is relevant for developers interested in implementing recommendation systems and using distance metrics in Ruby.