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TransRec++: Translation-based sequential recommendation with heterogeneous feedback

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Acknowledgements

We thank the support of National Natural Science Foundation of China (Grant Nos. 62172283 and 61836005).

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Correspondence to Wei-Ke Pan.

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The supporting information is available online at journal.hep.com.cn and link.springer.com.

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Zhan, ZX., He, MK., Pan, WK. et al. TransRec++: Translation-based sequential recommendation with heterogeneous feedback. Front. Comput. Sci. 16, 162615 (2022). https://doi.org/10.1007/s11704-022-1184-8

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  • DOI: https://doi.org/10.1007/s11704-022-1184-8

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