Tentative programme


09:00

Welcome and introduction

09:20

Keynote: Challenges and Limitations in the Offline and Online Evaluation of Recommender Systems: A Netflix Case Study

Carlos Gomez-Uribe, Netflix

10:30

Coffee break

11:00

Paper session I

(15+5 min per presentation)

Iterative Smoothing Technique for Improving the Stability of Recommender Systems

Gediminas Adomavicius and Jingjing Zhang

Toward a New Protocol to Evaluate Recommender Systems

Frank Meyer, Françoise Fessant, Fabrice Clérot and Eric Gaussier

Using Crowdsourcing to Compare Document Recommendation Strategies for Conversations

Maryam Habibi and Andrei Popescu-Belis

12:00

Discussion

12:30

Lunch

14:10

Poster session

Insights on Social Recommender Systems

Wolney Leal De Mello Neto and Ann Nowé

User Evaluation of Fusion-based Recommender Systems for Serendipity-oriented Recommendation

Kenta Oku and Fumio Hattori

Case Study Evaluation of Mahout as a Recommender Platform

Carlos E. Seminario and David C. Wilson

Evaluating the Importance of Various Implicit Factors in E-commerce

Ladislav Peşka and Peter Vojtas

14:40

Paper session II

(10+5 min per presentation)

Recommender Systems Evaluation: A 3D Benchmark

Alan Said, Domonkos Tikk, Klara Stumpf, Yue Shi, Martha Larson and Paolo Cremonesi

On the Use of Weighted Mean Absolute Error in Recommender Systems

Sergio Cleger-Tamayo, Juan M. Fernández-Luna and Juan F. Huete

How Similar is Rating Similarity to Content Similarity?

Osman Başkaya and Tevfik Aytekin

Modeling Difficulty in Recommender Systems

Benjamin Kille

15:40

Discussion

16:00

Coffee break

16:30

Discussion and wrap-up

17:30

End of workshop

RUE 2012 - 1st International Workshop on Recommendation Utility Evaluation: Beyond RMSE
6th ACM Conference on Recommender Systems (RecSys 2012)
Dublin, Ireland, 9 or 13 September 2012