You are an engineer that developed an AI-based ad recommendation tool. Which of the following should be monitored to evaluate the tool’s effectiveness?
A.
Output data, to assess the delta between the prediction and actual ad clicks.
B.
Algorithmic patterns, to show the model has a high degree of accuracy.
C.
Input data, to ensure the ads are reaching the target audience.
D.
GPU performance, to evaluate the tool’s robustness.
To evaluate the effectiveness of an AI-based ad recommendation tool, the following should be monitored: A. Output data, to assess the delta between the prediction and actual ad clicks.
This directly measures the tool’s performance by comparing predicted ad clicks to actual user behavior, indicating how well the recommendations align with user preferences.
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