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Grokking the Machine Learning Interview

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.




Let's learn about the techniques for generating training data for the ad prediction system.

Introduction

Practical ML Techniques/Concepts

Search Ranking

Feed Based System

Recommendation System

Self-Driving Car: Image Segmentation

Entity Linking System

Ad Prediction System

Training Data Generation

Training data generation through online user engagement