Training Data Generation
The performance of the user engagement prediction model will depend drastically on the quality and quantity of training data. So let’s see how the training data for our model can be generated.
Training data generation through online user engagement
When we show an ad to the user, they can engage with it or ignore it. Positive examples result from users engaging with ads, e.g., clicking or adding an item to their cart. Negative examples result from users ignoring the ads or providing negative feedback on the ad.