Collaborative filtering, content-based, and deep learning recommendations
User-based and item-based CF, similarity metrics, matrix factorization, and handling cold start
Feature engineering for items, TF-IDF profiles, hybrid systems, and knowledge-based approaches
Neural CF, two-tower models, deep factorization machines, and sequential recommendations
System architecture, A/B testing, online learning, bandits, and evaluation metrics