MAI4CAREU - Machine Learning: Recommender Systems Created byLaia Güell Paule|Updated24 July 2024The University of Cyprus's MSc Artificial Intelligence is part of the Master programmes in Artificial Intelligence 4 Careers in Europe (MAI4CAREU). One of Master's programme's courses, MAI612 - Machine Learning is split up into several lectures. Taught by Vassilis Vassiliades, PhD, the fifteenth lecture of the MAI612 - Machine Learning course focuses on Recommender Systems.Learning outcomesWhat recommender systems are and the problem they solveThe collaborative filtering algorithmHow to extend the algorithm in the case of binary labelsImplementation details that would make the algorithm work better in practiceAddressing challenges in collaborative filtering, the lecture explores the ranking of items based on their distance using 𝑘-nearest neighbours. Lecture 15 provides students with a concise yet comprehensive understanding of recommender systems, offering practical insights applicable to diverse industries.Learning contentWebsite link MAI4CAREU - Lecture 15 - Recommender SystemsTarget audienceDigital skills for ICT professionals and other digital experts.Digital skill levelIntermediateAdvancedGeographic scope - CountryAustriaBelgiumBulgariaCyprusRomaniaSloveniaCroatiaCzech republicDenmarkEstoniaFinlandFranceGermanyGreeceHungaryItalyIrelandMaltaLatviaLithuaniaLuxembourgNetherlandsPortugalPolandSwedenSpainSlovakiaShow moreShow less Share this page Log in to comment