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September 30, 2025Open Access

Forecasting Clicks in Digital Advertising: Multimodal Inputs and Interpretable Outputs

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Experiments reveal a novel multimodal approach improves click volume predictions in digital advertising, indicating better accuracy and reasoning.

The multimodal approach achieved significant improvements in forecasting click volume in digital advertising campaigns.
Experiments demonstrated that the framework outperformed traditional time series models in accuracy and reasoning quality.
Reinforcement learning plays a critical role in enhancing the understanding of textual information in the forecasting process.
The methodology yielded human-interpretable explanations alongside numeric predictions for improved campaign strategy.

Gangopadhyay et al. (2025) studied this question.

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September 30, 2025Open Access

View Full Paper

Ask AI

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Authors

Experiments reveal a novel multimodal approach improves click volume predictions in digital advertising, indicating better accuracy and reasoning.

The multimodal approach achieved significant improvements in forecasting click volume in digital advertising campaigns.
Experiments demonstrated that the framework outperformed traditional time series models in accuracy and reasoning quality.
Reinforcement learning plays a critical role in enhancing the understanding of textual information in the forecasting process.
The methodology yielded human-interpretable explanations alongside numeric predictions for improved campaign strategy.

Gangopadhyay et al. (2025) studied this question.

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