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An efficient covariate selection method for a Pareto-type model and machine learning in customer inactivity prediction

Shao Ming Xie

International Journal of Technology Marketing2025https://doi.org/10.1504/ijtmkt.2026.10074600article
AJG 1ABDC C
Weight
0.50

What the paper says

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https://doi.org/https://doi.org/10.1504/ijtmkt.2026.10074600

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@article{shao2025,
  title        = {{An efficient covariate selection method for a Pareto-type model and machine learning in customer inactivity prediction}},
  author       = {Shao Ming Xie},
  journal      = {International Journal of Technology Marketing},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1504/ijtmkt.2026.10074600},
}

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An efficient covariate selection method for a Pareto-type model and machine learning in customer inactivity prediction

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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.