Data-driven prediction of future purchase behavior in cross-border e-commerce using sequence modeling with PSO-tuned LSTM.

Yang Y

DOI: 10.1371/journal.pone.0337932
Published: 2025
Container: PloS one
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0337932,
  title = {Data-driven prediction of future purchase behavior in cross-border e-commerce using sequence modeling with PSO-tuned LSTM.},
  author = {Yang Y},
  year = {2025},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0337932},
  url = {https://doi.org/10.1371/journal.pone.0337932}
}

RIS

TY  - JOUR
TI  - Data-driven prediction of future purchase behavior in cross-border e-commerce using sequence modeling with PSO-tuned LSTM.
AU  - Yang Y
PY  - 2025
JO  - PloS one
DO  - 10.1371/journal.pone.0337932
UR  - https://doi.org/10.1371/journal.pone.0337932
ER  -

APA

Y, Y. (2025). Data-driven prediction of future purchase behavior in cross-border e-commerce using sequence modeling with PSO-tuned LSTM.. PloS one. https://doi.org/10.1371/journal.pone.0337932

Source records

pubmed · retrieved 2026-09-25T13:14:21.192Z
europe-pmc · retrieved 2026-09-25T13:14:21.210Z