A hybrid approach for customer churn prediction and prevention in tourism

Ghazaleh Motamedi et al.

Information Technology & Tourism2026https://doi.org/10.1007/s40558-025-00356-warticle
AJG 1ABDC A
Weight
0.50

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https://doi.org/https://doi.org/10.1007/s40558-025-00356-w

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@article{ghazaleh2026,
  title        = {{A hybrid approach for customer churn prediction and prevention in tourism}},
  author       = {Ghazaleh Motamedi et al.},
  journal      = {Information Technology & Tourism},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s40558-025-00356-w},
}

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A hybrid approach for customer churn prediction and prevention in tourism

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.