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Spezielle Kapitel aus Informatik: Recommender Systems

344.033, KV, 2h, WS 2012/13

TIME: Tuesday, 13:45 - 15:15
START: Tuesday, Oct 2, 2012
PLACE: S2 046

This lecture will be held in English.
Presentation slides will be made available prior to each class via KUSSS and serve as supplementary material for the course.

Description

Over the past decade, recommendation systems have become a ubiquitous commodity on the Web. Popular Internet services and retailers like Amazon.com, Last.fm, or Netflix provide their users with recommendations of potentially interesting items and present user-personalized views of their catalogues. As there is a potential customer for even the most obscure product (i.e., products to be found in the so-called "long tail"), methods to recommend appropriate items at the right time are crucial for maximizing sales and user satisfaction.

This lecture gives an introduction to current techniques for making automatic recommendations. To this end, different methods to identify items that could be relevant to a user (e.g., by analyzing usage data of other users or by calculating the similarity of items) are presented and discussed. Furthermore, important aspects like evaluation of systems, their susceptibility to manipulation, and issues of the presented methods are covered. Emphasis is given to two popular application areas, namely music and movie recommendation. The taught methods will be applied on real-world data sets in a practical project at the end of the semester.

Schedule

Oct 02: Overview of the Lecture, Introduction to Recommender Systems
Oct 09: Applications and "The Long Tail"
Oct 16: Knowledge-based Recommenders vs. Collaborative Filtering
Oct 23: Collaborative Filtering – Model-based Methods
Oct 30: Content-based Recommenders
Nov 06: Context-aware Recommenders
Nov 13: Issues; Hybrid Recommenders
Nov 20: Evaluating Recommender Systems
Nov 27: Hacking Recommender Systems
Dec 04: Case-Study 1: Music Recommendation
Dec 11: Case-Study 2: Movie Recommendation, The Netflix Prize
Jan 15: Presentations Practical Project
Jan 22: Written Examination

Contact for Questions

Peter Knees

Tel. 0732 2468 4711

last edited by pk on Oct 16, 2012