Research Topics in Recommender Systems
Postgraduate course
- ECTS credits
- 15
- Teaching semesters
- Autumn, Spring
- Course code
- INFO345
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
Learning Outcomes
A student who has completed the course should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The candidate
- has fundamental knowledge about the central concepts behind recommender systems
- has broad knowledge about state-of-the-art recommender system algorithms
- has extensive knowledge about how to efficiently evaluate recommender systems
- has knowledge about the current research trends in recommender systems
Skills
The candidate
- is able to implement state-of-the-art recommender system algorithms
- can develop their own recommender system
- is able to deploy HCI and machine learning routines to evaluate recommender systems
- is able to teach laymen about how recommender systems work
Level of Study
Semester of Instruction
Required Previous Knowledge
Access to the Course
Teaching and learning methods
Compulsory Assignments and Attendance
Compulsory requirements are only valid the semester they are approved.
Forms of Assessment
Both the exam and the assignment paper must be done in the teaching semester.
The exam assignment will be given in the language of instruction in the course.
The exam answer must be submitted in the same language as the exam assignment.
Grading Scale
Assessment Semester
Assessment in teaching semester.
Retake exam
School exam:
A retake exam is arranged for students with valid absence according to § 5-5. If there is a retake exam, this will be available for students with the follow results/absences:
- Medical certificate/valid absence
- Interruption during the exam
- Fail/failed
If you have the right to take a retake exam and a retake exam is arranged for students with valid absences, you can sign up yourself in Studentweb after January 15/August 1.
Group assignment:
Students with valid absence as defined in the UiB regulations § 5-5 can apply for an extended submission deadline to eksamen.infomedia@uib.no. The application must be submitted before the deadline for submission has expired.