Tutorials

RecSys Summer School 2017: Replication of Recommender Systems Research

Tutorial at the 2017 ACM RecSys Summer School. Focus on practical replication of recommender systems highlighting how research should be reported in order for it to be replicable. The tutorial presents methods for reporting on experiments (data management, design choices, algorithms, software) in order to allow other to reproduce the results.

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RecSys 2015: Replicable Evaluation of Recommender Systems

Tutorial at the 8th ACM Conference on Recommender Systems. Focus on replicable evaluation of recommender systems highlighting differences between replicability and reproducibility. The tutorial presents methods for reporting on experiments (data management, design choices, algorithms, software) in order to alleviate unbiased comparison across experimental settings.

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Hypertext 2014: Evaluating Recommender Systems - Ensuring Replicability of Evaluation

Tutorial at the 25th ACM Conference on Hypertext and Social Media.

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