Large language models make sample-efficient recommender systems

Jianghao LIN; Xinyi DAI; Rong SHAN; Bo CHEN; Ruiming TANG; Yong YU; Weinan ZHANG

doi:10.1007/s11704-024-40039-z

Front. Comput. Sci. ›› 2025, Vol. 19 ›› Issue (4) : 194328 DOI: 10.1007/s11704-024-40039-z

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Large language models make sample-efficient recommender systems

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Jianghao LIN, Xinyi DAI, Rong SHAN, Bo CHEN, Ruiming TANG, Yong YU, Weinan ZHANG. Large language models make sample-efficient recommender systems. Front. Comput. Sci., 2025, 19(4): 194328 DOI:10.1007/s11704-024-40039-z

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References

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[1]	Zhang J, Bao K, Zhang Y, Wang W, Feng F, He X. Large language models for recommendation: progresses and future directions. In: Proceedings of the ACM on Web Conference 2024. 2024, 1268−1271

[2]	Pan X, Wu L, Long F, Ma A . Exploiting user behavior learning for personalized trajectory recommendations. Frontiers of Computer Science, 2022, 16( 3): 163610