Posters

The LKPY Package for Recommender Systems Experiments

Michael D Ekstrand (Boise State University)*

Offline Comparison of Ranking Functions using Randomized Data

Aman Agarwal (Google); Xuanhui Wang (Google); Cheng Li (Google)*; Michael Bendersky (Google); Marc Najork (Google)

Multi-Armed Bandits for Recommender Systems : A True Story of Accuracy

Nicolas Gutowski (Université d'Angers / Groupe ESEO)*; Tassadit Amghar (Université d'Angers); Olivier Camp (Groupe ESEO); Fabien Chhel (Groupe ESEO)

Using offline metrics and user behavior analysis to combine multiple systems for music recommendation

Andres Ferraro (Music Technology Group - Universitat Pompeu Fabra)*; Dmitry Bogdanov (Universitat Pompeu Fabra); Kyumin Choi (Kakao Corp); Xavier Serra (Universitat Pompeu Fabra )

Sequeval: A Framework to Assess and Benchmark Sequence-based Recommender Systems

Diego Monti (Politecnico di Torino)*; Enrico Palumbo (Istituto Superiore Mario Boella); Giuseppe Rizzo (ISMB); Maurizio Morisio (Politecnico di Torino)

A Distributed and Accountable Approach to Offline Recommender Systems Evaluation

Diego Monti (Politecnico di Torino)*; Giuseppe Rizzo (ISMB); Maurizio Morisio (Politecnico di Torino)

Off-line vs. On-line Evaluation of Recommender Systems in Small E-commerce

Ladislav Peška (Charles University, Prague)*; Peter Vojtas (Charles University, Prague)

Towards an Offline Evaluation Strategy for Recommender Systems in Personalized Music Video Television

Reza Aditya Permadi (TU Delft)*; Martha Larson (Radboud University); Bouke Huurnink (XITE Networks International)

Characterization of Fair Experiments for Recommender System Evaluation – A Formal Analysis

Pablo Castells (Universidad Autónoma de Madrid)*; Rocío Cañamares (Universidad Autónoma de Madrid)

Fair Offline Evaluation Methodologies for Implicit-Feedback Recommender Systems with MNAR Data

Olivier Jeunen (University of Antwerp)*; Koen Verstrepen (Froomle); Bart Goethals (Universiteit Antwerpen)

Comparing offline and online evaluation results of recommender systems

Pavel Kordík (Czech Technical University in Prague)*; Tomáš Řehořek (FIT CTU in Prague); Ondrej Biza (Czech Technical University)