Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering-Reference-Cited by-同舟云学术

Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering

Published:2023 Issue: Volume: Page:33-48
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Anelli Vito Walter,Deldjoo Yashar,Di Noia Tommaso,Malitesta Daniele,Paparella Vincenzo,Pomo Claudio

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-28244-7_3

Reference54 articles.

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2. Anelli, V.W., et al.: Elliot: A comprehensive and rigorous framework for reproducible recommender systems evaluation. In: SIGIR, pp. 2405–2414, ACM (2021)

3. Anelli, V.W., et al.: How neighborhood exploration influences novelty and diversity in graph collaborative filtering. In: MORS@RecSys, CEUR Workshop Proceedings, vol. 3268, CEUR-WS.org (2022)

4. Anelli, V.W., et al.: Reshaping graph recommendation with edge graph collaborative filtering and customer reviews. In: DL4SR@CIKM, CEUR Workshop Proceedings, vol. 3317, CEUR-WS.org (2022)

5. van den Berg, R., Kipf, T.N., Welling, M.: Graph convolutional matrix completion. CoRR abs/1706.02263 (2017)

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