Akademik Dersler - İçerik

0 : Does not support 1 : Low-level support 2 : Mid-level support 3 : Top level support

Learning Outcomes	1	2	3	4	5	6	7	8	9	10	11	12
Explains the core architectural components of recommender systems and the technical differences between various filtering approaches.	3	0	1	1	1	0	1	3	1	1	0	1
Explains the operational principles and implementation steps of collaborative (memory and model-based) and content-based filtering methods.	3	0	1	2	1	1	1	3	1	1	0	1
Explains the design logic of hybrid models that combine different recommendation techniques and the solutions these models provide for issues of recommender systems.	3	0	1	1	1	1	1	3	1	1	0	1
Explains the academic evaluation metrics and performance analysis processes used to measure the success of recommender systems.	3	0	1	1	1	1	1	3	1	1	0	1
Explains advanced techniques, current research trends, and emerging approaches in the field of recommender systems.	3	1	1	1	1	1	1	3	1	0	1	-