Concepedia
Statistics
Publications
14
Citations
475
H-Index
11
Active since
2014
Affiliations
Johannes Kepler University of Linz(Current)
TU Wien
Universität Innsbruck
Graz University of Technology
Navid Rekabsaz is an author at Johannes Kepler University of Linz specializing in engineering, data science, and text mining.
Top concepts
EngineeringData ScienceText MiningInformation RetrievalNatural Language ProcessingKnowledge DiscoveryComputational LinguisticsBiasLanguageStatistics
Publications per year
2014–2023
Investigating gender fairness of recommendation algorithms in the music domain
Alessandro B. Melchiorre, Navid Rekabsaz, Emilia Parada‐Cabaleiro et al. · Information Processing & Management · 2021 · 138 citations · Full text
Analyzing Item Popularity Bias of Music Recommender Systems: Are Different Genders Equally Affected?
Oleg Lesota, Alessandro B. Melchiorre, Navid Rekabsaz et al. · 2021 · 62 citations · Full text
LFM-2b: A Dataset of Enriched Music Listening Events for Recommender Systems Research and Fairness Analysis
Markus Schedl, Stefan Brandl, Oleg Lesota et al. · 2022 · 50 citations
Music, Vector Embeddings, Computational Musicology +17
Unlearning Protected User Attributes in Recommendations with Adversarial Training
Christian Ganhör, David Penz, Navid Rekabsaz et al. · Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval · 2022 · 43 citations · Full text
Artificial Intelligence, Engineering, Machine Learning +20
ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations
Alessandro B. Melchiorre, Navid Rekabsaz, Christian Ganhör et al. · 2022 · 36 citations · Full text
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