This paper is marked retracted in the scholarly record (OpenAlex). Interpret its findings with caution.
Retraction: Machine learning-based e-commerce platform repurchase customer prediction model
Abstract
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsConsumer Retail Behavior Studies · Customer churn and segmentation
The PLOS One Editors retract this article [1,2] because it was identified as one of a series of submissions for which we have concerns about peer review integrity and potential manipulation of the publication process. These concerns call into question the validity and provenance of the reported results. We regret that the issues were not identified prior to the article’s publication.
All authors either did not respond directly or could not be reached.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Liu C-J, Huang T-S, Ho P-T, Huang J-C, Hsieh C-T. Machine learning-based e-commerce platform repurchase customer prediction model. P Lo S One. 2020;15(12): e 0243105. doi: 10.1371/journal.pone.0243105 33270714 PMC 7714352 · doi ↗ · pubmed ↗
- 2Liu C-J, Huang T-S, Ho P-T, Huang J-C, Hsieh C-T. Correction: Machine learning-based e-commerce platform repurchase customer prediction model. P Lo S One. 2024;19(12): e 0315518. doi: 10.1371/journal.pone.0315518 39637076 PMC 11620676 · doi ↗ · pubmed ↗