AAI 6650 — Recommender System
3 semester hours Graduate Lecture
Designed to provide a comprehensive understanding of recommender systems and hands-on experience in building personalized recommendation engines. Examines the fundamental concepts of recommendation algorithms, data preprocessing, model evaluation, and deployment strategies. Offers real-world projects, offering the opportunity to create effective and scalable recommendation systems catering to diverse application domains.
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Data updated Sep 2026 · page generated 2026-09-10.