PopGR: Popularity reweighting for debiasing in group recommendation-Reference-Cited by-同舟云学术

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PopGR: Popularity reweighting for debiasing in group recommendation

Published:2024-05-17 Issue:4 Volume:27 Page:
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Zhou Hailun,Fang Junhua,Chao Pingfu,Qu Jianfeng,Zhang Ruoqian

Funder

National Natural Science Foundation of China

Young Scholar Program of Cyrus Tang Foundation

The Major Project of Natural Science Research in Universities of Jiangsu Province

Natural Science Foundation of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11280-024-01272-5.pdf

Reference51 articles.

1. Zhu, Z., Wang, J., Caverlee, J.: Measuring and mitigating item under-recommendation bias in personalized ranking systems. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 449–458 (2020)

2. Guo, L., Yin, H., Wang, Q., Cui, B., Huang, Z., Cui, L.: Group recommendation with latent voting mechanism. In: 2020 IEEE 36th International Conference on Data Engineering (ICDE), pp. 121–132 (2020). IEEE

3. Amer-Yahia, S., Roy, S.B., Chawlat, A., Das, G., Yu, C.: Group recommendation: Semantics and efficiency. Proc. VLDB Endow. 2(1), 754–765 (2009)

4. Berkovsky, S., Freyne, J.: Group-based recipe recommendations: analysis of data aggregation strategies. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 111–118 (2010)

5. Baltrunas, L., Makcinskas, T., Ricci, F.: Group recommendations with rank aggregation and collaborative filtering. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 119–126 (2010)

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