[Springer] Personalized recommendation methods for e-commerce based on multi-source user behavior data fusion

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Paper Title: Personalized recommendation methods for e-commerce based on multi-source user behavior data fusion

DOI: https://doi.org/10.1007/s12652-026-05129-9

Article Link: https://link.springer.com/article/10.1007/s12652-026-05129-9

Journal:  Journal of Ambient Intelligence and Humanized Computin
Publisher: Springer

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