2024/2025

Recommender Systems

Type: Mago-Lego

Delivered by: Department of Business Informatics

When: 1, 2 module

Open to: students of one campus

Language: English

ECTS credits: 6

Contact hours: 48

Course Syllabus

Abstract

The course is aimed at the formation of sufficient knowledge, skills and competencies for the construction of recommender systems. The course is applied one and covers all advanced topics necessary for successful application both in industry and in academic research. Students of the course will learn the correct formalization of the task, the choice of ranking functions and metrics, the implementation of recommendation ML models in Python - from simple collaborative filtering to modern neural networks.