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README.md
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The heavy-tailed TTO suggests robust objectives and appropriate censoring strategies. The two user segments motivate
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segment-aware priors and exploration strategies; mailshot-level heterogeneity motivates per-mailshot features or random effects.
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## Acknowledgements
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Čeněk Žid's research was supported by the Grant Agency of the Czech Technical University (SGS20/213/OHK3/3T/18).
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The heavy-tailed TTO suggests robust objectives and appropriate censoring strategies. The two user segments motivate
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segment-aware priors and exploration strategies; mailshot-level heterogeneity motivates per-mailshot features or random effects.
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## Dataset Versions
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The current version of the dataset contains 12 months of data (2024-04 -- 2025-03). Future dataset might
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include additional months of data. The data collection is still ongoing.
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## Acknowledgements
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Čeněk Žid's research was supported by the Grant Agency of the Czech Technical University (SGS20/213/OHK3/3T/18).
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