DCRMTA: Deep Causal Representation Learning for Multi-Touch Attribution

T1Covered by 1 source · first reported by arXiv at 25 Sept, 04:00 UTC

arXiv:2401.08875v3 Announce Type: replace-cross Abstract: Multi-touch attribution (MTA) is essential for estimating the contribution of individual advertising touchpoints to user conversions. While recent studies incorporate causal inference to mitigate confounding bias from user preferences…

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Sources

• T1DCRMTA: Deep Causal Representation Learning for Multi-Touch AttributionarXiv25 Sept, 04:00