CTR model was built to predict click-through rates in recommendation systems like TikTok and google and the model was fed tens of billions of samples from the exposure logs. In this case, the most important thing is keeping the exposure log clean. But it's not easy because there is a complex and long pipeline from the exposure log to training samples.
FlattenLayer t1_iylz5rc wrote
Reply to comment by fourcornerclub in [Discussion] - "data sourcing will be more important than model building in the era of foundational model fine-tuning" by fourcornerclub
CTR model was built to predict click-through rates in recommendation systems like TikTok and google and the model was fed tens of billions of samples from the exposure logs. In this case, the most important thing is keeping the exposure log clean. But it's not easy because there is a complex and long pipeline from the exposure log to training samples.