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Unit I
Introduction to Recommender Systems (RS): Goals of RS, Basic models of RS, Challenges in RS.
Collaborative filtering: Key properties of rating matrices, user and item based nearest recommendation, predicting ratings, neighborhood-based methods (clustering, dimensionality reduction, regression modelling and graph models), Model based collaborative filtering, Content-based, knowledge based, ensemble based and hybrid recommender system.
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As per the latest IPU syllabus — cross-check electives with your college.
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Which semester is Recommender System taught in for AI-DS?
Recommender System (AIDS403) is a semester 7 subject in the IPU B.Tech AI & DS (Artificial Intelligence and Data Science) (AI-DS) curriculum.
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