Seminar “Help Me Decide” - The World of Recommender Systems

Master Informatik, Master Wirtschaftsinformatik
Seminar talk, active discussion, attendance
Regular Dates: 
Wednesday, 16:45-18:15, Room IZ 251, see schedule below

Within this seminar, we will have a closer look at recommender systems.

Have a look at the intro slides.


21.10.2009 Intro Session #1  
11.11.2009 Intro Session #2  
18.11.2009 Introduction to Recommender Systems Simon
09.12.2009 Missing at Random Philipp
06.01.2010 Automatically Building Ontologies Sebastian
13.01.2010 Latent Factor Models Abir
20.01.2010 Netflix Rongfeng
27.01.2010 Explanations Martin
03.02.2010 Discussions and Grading  



Potential Topics and Materials:

SURVEYS (everybody should read this)

Gediminas Adomavicius and Alexander Tuzhilin. Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions (2005)

Miquel Montaner, Beatriz López, and Josep Lluís de la Rosa. A Taxonomy of Recommender Agents on the Internet (2003)


--> Elaine Rich: User Modeling via Stereotypes (1979)

Fab and GroupLens (CF)
--> Marko Balabanović and Yoav Shoham: Fab: Content-Based, Collaborative Recommendation (1997)
--> Joseph A. Konstan, Bradley N. Miller, David Maltz, Jonathan L. Herlocker, Lee R. Gordon, John Riedl: GroupLens: Applying Collaborative Filtering to Usenet News (1997)
--> Greg Linden, Brent Smith, and Jeremy York: Recommendations: Item-to-Item Collaborative Filtering (2003)

--> Robin D. Burke, Kristian J. Hammond, and Benjamin C. Young: The FindMe Approach to Assisted Browsing (1997)


SVD (+ Jester)
--> Ken Goldberg, Theresa Roeder, Dhruv Gupta and Chris Perkins: Eigentaste: A Constant Time Collaborative Filtering Algorithm (2001)

--> Robert M. Bell and Yehuda Koren: Lessons from the Netflix Prize Challenge (2007)

Latent Factor Models
--> Thomas Hofmann: Latent Semantic Models for Collaborative Filtering (2004)

Conjoint Analysis
--> Arnaud De Bruyn, John C. Liechty, Eelko K. R. E. Huizingh, and Gary L. Lilien: Offering Online Recommendations with Minimum Customer Input Through Conjoint-Based Decision Aids (2008)

--> Cai-Nicolas Ziegler, Georg Lausen, and Joseph A. Konstan: On Exploiting Classification Taxonomies in Recommender Systems (2008)

Automatically Building Ontologies
--> Vincent Schickel-Zuber and Boi Faltings: Using Hierarchical Clustering for Learning the Ontologies used in Recommendation Systems (2007)

Recommendation to groups
--> Mark O’Connor, Dan Cosley, Joseph A. Konstan, and John Riedl: PolyLens: A Recommender System for Groups of Users (2001)


--> Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, John T. Riedl: Evaluating Collaborative Filtering Recommender Systems (2004)

--> Nava Tintarev and Judith Masthoff. A Survey of Explanations in Recommender Systems (2007)

Biases in Rating Schemes
--> Robin S. Poston: Using and Fixing Biased Rating Schemes (2008)

Missing at Random:
--> Benjamin M. Marlin, Richard S. Zemel, Sam Roweis, and Malcolm Slaney. Collaborative Filtering and the Missing at Random Assumption (2007)

Collaborative vs. Individual-Based Recommendation
--> Dan Ariely, John G. Lynch, Jr., and Manuel Aparicio IV. Learning by Collaborative and Individual-Based Recommendation Agents (2004)