course-details-portlet

TDT4215 - Recommender Systems

About

Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Examination aids
School exam 100/100 4 hours

Course content

  • Content-based Filtering
  • Collaborative Filtering
  • Exploration vs. Exploitation
  • Evaluation Methodology and Metrics Personalization
  • Context-awareness
  • Natural Language Processing
  • Ethical Considerations
  • Generative AI
  • Multi-objective Recommendation

Learning outcome

Knowledge: Recommendation algorithms, including content-based filtering and collaborative filtering. Evaluation methodology and a variety of metrics. Critical reflection of ethical aspects. Considering contextual information. Feature engineering with natural language processing technology. Optimization for multiple criteria.

Skills: Statistical methods to analyze the output of recommender systems. Implementing scalable systems.

General competence: Critical thinking. Teamwork. Problem solving.

Learning methods and activities

Lectures, exercises and group project.

The course is taught in English.

Compulsory assignments

  • Group work

Further on evaluation

Students must pass the obligatory group project to be able to take the exam.

The text for the written final exam will be in English.

The candidates may choose to write their answers in either English or Norwegian.

If there is a re-sit examination, the examination form may change from written to oral.

Course materials

Announced at start of semester.

Credit reductions

Course code Reduction From To
TDT4215 3.7 AUTUMN 2011
TDT4215 3.7 AUTUMN 2011
More on the course

Facts

Version: 3
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2025

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Informatics
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science