Akademik Dersler - Tanıtım


Code - Course Title	BİL549 - Recommender Systems
Course Type	Elective Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ ZEYNEP BATMAZ
Mode of Delivery	Face to face
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	None
Required or Recommended Resources	Recommender Systems: An Introduction by Dietmar Jannach, Markus Zanker, Alexander Felfernig, and Gerhard Friedrich.
Recommended Reading List	Recommender Systems: An Introduction by Dietmar Jannach, Markus Zanker, Alexander Felfernig, and Gerhard Friedrich.
Assessment methods and criteria	1 midterm, 1 final exam, presentation
Work Placement	There is no work placement for the course.
Sustainability Development Goals	Quality Education , Industry, Innovation and Infrastructure

Weeks	Topics
Week - 1	Introduction to Recommender Systems
Week - 2	Collaborative Filtering Techniques-Memory-based Approaches
Week - 3	Collaborative Filtering Techniques-Model-based Approaches
Week - 4	Content-based Filtering Techniques
Week - 5	Hybrid Recommender Techniques
Week - 6	Evaluating Recommender Systems
Week - 7	EN: Advanced Recommendation Techniques
Week - 8	Recent Topics in Recommender Systems
Week - 9	Recent Topics in Recommender Systems
Week - 10	Recent Topics in Recommender Systems
Week - 11	Recent Topics in Recommender Systems
Week - 12	Recent Topics in Recommender Systems
Week - 13	Recent Topics in Recommender Systems
Week - 14	Recent Topics in Recommender Systems

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
1.Midterm Exam	1	30
Homework	1	20
Final Exam	1	50
Toplam (%)		100