Multi-view denoising contrastive learning for bundle recommendation
Author:
Funder
National Natural Science Foundation of China
Hefei Key Common Technology Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05825-z.pdf
Reference50 articles.
1. Bai J, Zhou C, Song J et al (2019) Personalized bundle list recommendation. In: The world wide web conference, pp 60–71. https://doi.org/10.1145/3308558.3313568
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3. Chang J, Gao C, He X et al (2020) Bundle recommendation with graph convolutional networks. In: Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval, pp 1673–1676. https://doi.org/10.1145/3397271.3401198
4. Chang J, Gao C, He X et al (2021) Bundle recommendation and generation with graph neural networks. IEEE Trans Knowl Data Eng 35(3):2326–2340. https://doi.org/10.1109/TKDE.2021.3114586
5. Deng Q, Wang K, Zhao M et al (2020) Personalized bundle recommendation in online games. In: Proceedings of the 29th ACM international conference on information & knowledge management, pp 2381–2388. https://doi.org/10.1145/3340531.3412734
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