Course No:
194035
Course Type:
VU
Term:
2018S
Weekly Hours:
2.0
Lecturer:
Dimitrios Sacharidis
Amra Delic
Language:
English
Course Link:
Objective:
The students will:
- familiarize themselves with the concepts of Recommender Systems,
- understand the challenges involved,
- be able to “recommend” appropriate techniques when faced with a recommendation task, and
- acquire hands-on experience implementing existing methods and evaluating them over real datasets.
Content:
- Introduction
- Content-based Recommendations
- Collaborative Filtering
- Model-based CF -- Matrix Factorization
- Evaluation Methods
- Special Topics (Group Recommenders, Social Recommenders, e-Tourism domain)
Information:
Notes:
Examination:
Recommendation: