Large Language Models are Zero-Shot Rankers for Recommender Systems-Reference-Cited by-同舟云学术

Large Language Models are Zero-Shot Rankers for Recommender Systems

Published:2024 Issue: Volume: Page:364-381
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Hou Yupeng,Zhang Junjie,Lin Zihan,Lu Hongyu,Xie Ruobing,McAuley Julian,Zhao Wayne Xin

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-56060-6_24

Reference85 articles.

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3. Bonab, H.R., Aliannejadi, M., Vardasbi, A., Kanoulas, E., Allan, J.: Cross-market product recommendation. In: Demartini, G., Zuccon, G., Culpepper, J.S., Huang, Z., Tong, H. (eds.) CIKM, pp. 110–119. ACM (2021). https://doi.org/10.1145/3459637.3482493

4. Cao, D., He, X., Nie, L., Wei, X., Hu, X., Wu, S., Chua, T.: Cross-platform app recommendation by jointly modeling ratings and texts. ACM Trans. Inf. Syst. 35(4), 37:1–37:27 (2017). https://doi.org/10.1145/3017429

5. Chen, J., Dong, H., Wang, X., Feng, F., Wang, M., He, X.: Bias and debias in recommender system: a survey and future directions. CoRR abs/2010.03240 (2020). https://arxiv.org/abs/2010.03240

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