Recommender Systems (Wintersemester 2014/2015)

Lecturer: Prof. Dr. Felix Naumann (Information Systems) , Prof. Dr. Ralf Krestel (Information Systems)
Course Website: https://hpi.de/en/naumann/teaching/teaching/ws-1415/recommender-systems.html

General Information

• Weekly Hours: 2
• Credits: 3
• Graded: yes
• Enrolment Deadline: 24.10.2014
• Teaching Form: Seminar
• Enrolment Type: Compulsory Elective Module
• Maximum number of participants: 6

Programs, Module Groups & Modules

Description

Recommender systems have become very popular in recent years. Many applications include recommender algorithms in one way or another. An early example of industrial application of recommender systems is recommending books by Amazon. Other application areas include movies, music, news, web queries, tags, and products in general. Independent of the application domain, various approaches have been developed to improve recommendations. Further, explanations of recommendations and evaluating recommender systems are active research fields, together with psychological and economical implications, as well as privacy concerns. We will look at different aspects of recommender systems and fundamental algorithms of the field.

Literature

See Website.

Learning

In this seminar, each student will present one topic related to

recommender systems in a 30-minutes talk followed by 15 minutes of

discussion. At the beginning of the semester each student should present

his/her topic in a 5-minutes short talk. At the end of the semester,

each student has to hand in a written summary report (5 pages; two column style) of

his/her topic. Active participation in all discussions is mandatory.

Examination

The grade will consist of

• 30% Presentation
• 30% Active Participation
• 40% Summary Report

Dates

Usually Mondays at 13:30 in A-2.2. See Website for details.

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