FairRecKit: A Web-based Analysis Software for Recommender Evaluations-Reference-Cited by-同舟云学术

FairRecKit: A Web-based Analysis Software for Recommender Evaluations

Published:2023-03-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 Conference on Human Information Interaction and Retrieval
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Author:

Bauer Christine¹^ORCID,Chung Lennard¹^ORCID,Cornelissen Aleksej¹^ORCID,van Driessel Isabelle¹^ORCID,van der Hoorn Diede¹^ORCID,de Jong Yme¹^ORCID,Le Lan¹^ORCID,Najiyan Tabriz Sanaz¹^ORCID,Spaans Roderick¹^ORCID,Thijsen Casper¹^ORCID,Verbeeten Robert¹^ORCID,Wesseling Vos¹^ORCID,Wieland Fern¹^ORCID

Affiliation:

1. Utrecht University, Netherlands

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3576840.3578274

Reference20 articles.

1. Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

2. Towards reproducibility in recommender-systems research

3. Improving accountability in recommender systems research through reproducibility

4. Òscar Celma . 2010. Music Recommendation . Springer Berlin Heidelberg , Berlin, Heidelberg , Germany, Chapter 3, 43–85. https://doi.org/10.1007/978-3-642-13287-2_3 10.1007/978-3-642-13287-2_3 Òscar Celma. 2010. Music Recommendation. Springer Berlin Heidelberg, Berlin, Heidelberg, Germany, Chapter 3, 43–85. https://doi.org/10.1007/978-3-642-13287-2_3

5. Karlijn Dinnissen and Christine Bauer . 2022. Fairness in music recommender systems: a stakeholder-centered mini review. Frontiers in Big Data 5 , Article 913608 ( 2022 ), 9 pages. https://doi.org/10.3389/fdata.2022.913608 10.3389/fdata.2022.913608 Karlijn Dinnissen and Christine Bauer. 2022. Fairness in music recommender systems: a stakeholder-centered mini review. Frontiers in Big Data 5, Article 913608 (2022), 9 pages. https://doi.org/10.3389/fdata.2022.913608

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