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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Jing Gao

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2 papers indexed here

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Book Open access Sep 2026

A Causal Transformer Multi-Touch Attribution with Dual Debiasing and Explainable Visualization for Advertising Recommendation

CT-MTA integrates a causally masked Transformer to model sequential dependencies, together with a Variational Autoencoder and a Gradient Reversal Layer to mitigate dual confounding biases, and design a counterfactual attribution module with a Mixture-of-Experts architecture to generate personalized and interpretable at...

Jia-Rong Zhang, Jing Gao · 0 citations
Book Open access Sep 2026

A Causal Transformer Multi-Touch Attribution with Dual Debiasing and Explainable Visualization for Advertising Recommendation

Multi-touch attribution (MTA) aims to estimate the causal effect of advertising touchpoints on user conversions, providing essential support for budget allocation and advertising recommendation. Existing causal MTA methods often struggle to capture complex temporal dependencies in long touchpoint sequences and fail to...

Jia-Rong Zhang, Jing Gao · 0 citations

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