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Personalisierung und Empfehlungssysteme SS 2013

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General information
Time: 
15.03.2013 14.15 - 16.00
24.05.2013 14.15 - 18.00
25.05.2013 09.00 - 15.00
Location: 
3W03
Lecturers: 

Topic: Personalization and Recommender Systems

The objective of this seminar is to give insights into recent research and practical applications of recommender systems.

It will give an overview of the area at hand and provide hands on for learning the required presentation skills and the capability to perform academic work independently .

Description: 

Not only since the launch of Amazon's ecommerce shopping platform, recommender engines and personalization technologies have become an integral part of the Web. Recommender systems, for instance, are giving automated advices to users for books to buy, for films to watch, or people to befriend.

Recommender systems are grounded on a solid theoretical foundations, spanning areas from statistics to machine learning. The seminar aims to explore the theoretical foundations of recommender systems and personalization technologies as well as their pratical use in different areas and domains. The seminar will look into diverse areas, explore the impact of recommender systems in these areas and also discuss the impact of recent developments in the area of "Big Data”.

Exams: 

Each participant is required to choose a topic and give an oral presentation of the topic. Furthermore the participant has to submit a written report (10-12 pages).

It is required that each participant participates in all sessions of the seminar.

The final grade is composed of 60% for the oral presentation (plus participation in discussions) and 40% for the written report.

The topics will be presented in the introductory session together with literature on each topic.

The report should use the Springer LNCS LaTeX author template: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0