Search Results for author: Ádám Tibor Czapp

Found 2 papers, 2 papers with code

The Effect of Third Party Implementations on Reproducibility

5 code implementations27 Jul 2023 Balázs Hidasi, Ádám Tibor Czapp

Reproducibility of recommender systems research has come under scrutiny during recent years.

Recommendation Systems

Widespread Flaws in Offline Evaluation of Recommender Systems

4 code implementations27 Jul 2023 Balázs Hidasi, Ádám Tibor Czapp

Even though offline evaluation is just an imperfect proxy of online performance -- due to the interactive nature of recommenders -- it will probably remain the primary way of evaluation in recommender systems research for the foreseeable future, since the proprietary nature of production recommenders prevents independent validation of A/B test setups and verification of online results.

Recommendation Systems

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