• 40% - Presentation
• 40% - Term paper
• 20% - Participation in class

At the same time, by means of the advent of the Web 2.0, social networks and their analysis have gained momentum.

Their amalgamation with recommender systems, in particular in application scenarios governed by decentralization of data storage and control, appears as the next logical step.

The seminar at hand aims to investigate the foundations and algorithmic clockworks of recommender systems, their limitations and applications to different domains, as well as their noted amalgamation with social networks.

Block I: Kick-Off Meeting

• May, 11; 3 pm - 6 pm. Room: 01.13.007, Garching, MI-Building.
• Introduction to topic by lecturer
• Organization of Seminar
• Assignment of Topics

Submission of presentations for review

• June, 08; end of day
• Finalization of presentations for review by lecturer (send by email)
• Feedback to be incorporated into PPT for presentation in plenum

Submission of final presentations

• June, 12; end of day
• Finalization of presentations for review by lecturer (send by email)
• Feedback to be incorporated into PPT for presentation in plenum

Block II: Presentations

• June, 15; 9 am - 5 pm AND June, 16; 9 am - 3 pm. Room: 01.06.011, Garching, MI-Building.
• All presentations to be held in plenum, followed by discussion

Submission of term papers

• June, 29; end of day
• Final versions of term papers to be submitted for grading
• Email copy to lecturer

Note: Topics and literature suggestions will be presented and handed out in the first session
Course Material: Information regarding topics and suggested reading will be handed out during the first session

Lecturer

• PD Dr.-Ing. Cai-Nicolas,
• Department Head Product Management PAYBACK GmbH
• cai.ziegler@hotmail.de

Contact person TUM

• Tobias Engel
• tobias.engel@in.tum.de

Requirements

1. Attendance to all seminar dates; moreover, all deliverables must be submitted before the deadline
2. Submission of presentation PPT up front for brief discussion with lecturer
3. Preparation of PPT presentation (master layout will be handed out in 1st session) of 20 minutes (discussion to follow)
4. Term paper on the chosen topic (eight to ten pages)
5. Active participation in discussions
6. All written material (PPT, term paper) in English

Requirements

1. Computer science students with a focus on information systems, information retrieval, and artificial intelligence
2. Business administration students with minor computer science, focusing on the before-mentioned topics; solid theoretical foundations are mandatory