On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis

Author:

Malitesta Daniele1ORCID,Cornacchia Giandomenico1ORCID,Pomo Claudio1ORCID,Di Noia Tommaso1ORCID

Affiliation:

1. Politecnico di Bari, Bari, Italy

Publisher

ACM

Reference68 articles.

1. Himan Abdollahpouri. 2019. Popularity Bias in Ranking and Recommendation. In AIES. ACM 529--530. Himan Abdollahpouri. 2019. Popularity Bias in Ranking and Recommendation. In AIES. ACM 529--530.

2. Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2017. Controlling Popularity Bias in Learning-to-Rank Recommendation. In RecSys. ACM 42--46 Himan Abdollahpouri Robin Burke and Bamshad Mobasher. 2017. Controlling Popularity Bias in Learning-to-Rank Recommendation. In RecSys. ACM 42--46

3. Himan Abdollahpouri , Robin Burke , and Bamshad Mobasher . 2019. Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking . In FLAIRS. AAAI Press , 413--418. Himan Abdollahpouri, Robin Burke, and Bamshad Mobasher. 2019. Managing Popularity Bias in Recommender Systems with Personalized Re-Ranking. In FLAIRS. AAAI Press, 413--418.

4. Vito Walter Anelli , Alejandro Bellogín , Antonio Ferrara , Daniele Malitesta , Felice Antonio Merra , Claudio Pomo, Francesco Maria Donini, and Tommaso Di Noia. 2021 . Elliot : A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. In SIGIR. ACM , 2405--2414. Vito Walter Anelli, Alejandro Bellogín, Antonio Ferrara, Daniele Malitesta, Felice Antonio Merra, Claudio Pomo, Francesco Maria Donini, and Tommaso Di Noia. 2021. Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation. In SIGIR. ACM, 2405--2414.

5. Vito Walter Anelli , Yashar Deldjoo , Tommaso Di Noia , Daniele Malitesta, Vincenzo Paparella, and Claudio Pomo. 2023 . Auditing Consumer- and ProducerFairness in Graph Collaborative Filtering. In ECIR (1) (Lecture Notes in Computer Science , Vol. 13980). Springer, 33-- 48 . Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia, Daniele Malitesta, Vincenzo Paparella, and Claudio Pomo. 2023. Auditing Consumer- and ProducerFairness in Graph Collaborative Filtering. In ECIR (1) (Lecture Notes in Computer Science, Vol. 13980). Springer, 33--48.

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1. Formalizing Multimedia Recommendation through Multimodal Deep Learning;ACM Transactions on Recommender Systems;2024-04-29

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