CMPE 256 - Recommender Systems

3 unit(s)
Recommender systems’ algorithms and applications. Memory-based and model-based algorithms, hybrid recommender systems, ranking and personalization, deep learning approaches, evaluation, social and knowledge graphs, bias, fairness, and ethical considerations, recent trends in recommender systems, case studies.

Prerequisite(s): CMPE 180A, classified standing, or instructor consent. Allowed Declared Majors: Artificial Intelligence or Computer Engineering or Software Engineering majors only.
Grading: Letter Graded

Class Schedule | Syllabus Information | University Bookstore