What is data drift?
Data drift occurs when a model, trained to recommend summer clothes in summer, encounters unexpected changes, like a heatwave starting in May. As a result, the model still is recommending spring clothes, even though outside weather is hot. This leads to irrelevant recommendations, poor user experience